ORCID Profile
0000-0001-6650-367X
Current Organisation
Queensland University of Technology
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Adaptive Agents and Intelligent Robotics | Artificial Intelligence and Image Processing | Computer Vision | Manufacturing Engineering | Robotics And Mechatronics | Control Systems, Robotics and Automation | Pattern Recognition and Data Mining | Flight Control Systems | Infrastructure Engineering and Asset Management | Aerospace Engineering | Satellite, Space Vehicle and Missile Design and Testing | Climate Change Processes | Global Change Biology | Innovation and Technology Management | Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics) | Other Biological Sciences | Control Engineering | Interdisciplinary Engineering Not Elsewhere Classified | Environmental Management | Mining Engineering | Interdisciplinary Engineering | Computer Vision | Intelligent Robotics |
ANZSRC Socio-Economic Objective (SEO)
Computer Software and Services not elsewhere classified | Expanding Knowledge in Engineering | Combined operations | Effects of Climate Change and Variability on Antarctic and Sub-Antarctic Environments (excl. Social Impacts) | Environmentally Sustainable Plant Production not elsewhere classified | Plant Production and Plant Primary Products not elsewhere classified | Ecosystem Assessment and Management of Antarctic and Sub-Antarctic Environments | Electricity transmission | Wheat | Technological and Organisational Innovation | Land and water management | Manufacturing not elsewhere classified | Aerospace equipment | Expanding Knowledge in Technology | Mining Soils | Environmental Policy, Legislation and Standards not elsewhere classified | Expanding Knowledge in the Information and Computing Sciences | Space Transport | Machinery and equipment not elsewhere classified | Other
Related Links
Publications
Image-Based Indoor Topological Navigation with Collision Avoidance for Resource-Constrained Mobile Robots
Publisher: Springer Science and Business Media LLC
Date: 03-06-2021
Design and implementation of a policy-based management system for data reliability in Wireless Sensor Networks
Publisher: IEEE
Date: 10-2008
DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study
Publisher: MDPI AG
Date: 29-05-2023
Abstract: Cancer is a leading cause of global morbidity and mortality, accounting for 250 Disability-Adjusted Life Years and 10 million deaths in 2019. Minimising unwarranted variation and ensuring appropriate cost-effective treatment across primary and tertiary care to improve health outcomes is a key health priority. There are few studies that have used linked data to explore healthcare utilisation prior to diagnosis in addition to post-diagnosis patterns of care. This protocol outlines the aims of the DaLECC project and key methodological features of the linked dataset. The primary aim of this project is to explore predictors of variations in pre- and post-cancer diagnosis care, and to explore the economic and health impact of any variation. The cohort of patients includes all South Australian residents diagnosed with cancer between 2011 and 2020, who were recorded on the South Australian Cancer Registry. These cancer registry records are being linked with state and national healthcare databases to capture health service utilisation and costs for a minimum of one-year prior to diagnosis and to a maximum of 10 years post-diagnosis. Healthcare utilisation includes state databases for inpatient separations and emergency department presentations and national databases for Medicare services and pharmaceuticals. Our results will identify barriers to timely receipt of care, estimate the impact of variations in the use of health care, and provide evidence to support interventions to improve health outcomes to inform national and local decisions to enhance the access and uptake of health care services.
Estimation of an optimal chemotherapy utilisation rate for head and neck carcinoma: setting an evidence-based benchmark for the best-quality cancer care.
Publisher: Elsevier BV
Date: 08-2009
The role of radiotherapy in cancer treatment: estimating optimal utilization from a review of evidence-based clinical guidelines.
Publisher: Wiley
Date: 03-08-2005
DOI: 10.1002/CNCR.21324
Robotics for the mining industry
Publisher: Springer London
Date: 1998
DOI: 10.1007/BFB0030805
Feasibility of multi-atlas cardiac segmentation from thoracic planning CT in a probabilistic framework
Publisher: IOP Publishing
Date: 08-04-2019
Abstract: Toxicity to cardiac and coronary structures is an important late morbidity for patients undergoing left-sided breast radiotherapy. Many current studies have relied on estimates of cardiac doses assuming standardised anatomy, with a calculated increase in relative risk of 7.4% per Gy (mean heart dose). To provide in idualised estimates for dose, delineation of various cardiac structures on patient images is required. Automatic multi-atlas based segmentation can provide a consistent, robust solution, however there are challenges to this method. We are aiming to develop and validate a cardiac atlas and segmentation framework, with a focus on the limitations and uncertainties in the process. We present a probabilistic approach to segmentation, which provides a simple method to incorporate inter-observer variation, as well as a useful tool for evaluating the accuracy and sources of error in segmentation. A dataset consisting of 20 planning computed tomography (CT) images of Australian breast cancer patients with delineations of 17 structures (including whole heart, four chambers, coronary arteries and valves) was manually contoured by three independent observers, following a protocol based on a published reference atlas, with verification by a cardiologist. To develop and validate the segmentation framework a leave-one-out cross-validation strategy was implemented. Performance of the automatic segmentations was evaluated relative to inter-observer variability in manually-derived contours measures of volume and surface accuracy (Dice similarity coefficient (DSC) and mean absolute surface distance (MASD), respectively) were used to compare automatic segmentation to the consensus segmentation from manual contours. For the whole heart, the resulting segmentation achieved a DSC of [Formula: see text], with a MASD of [Formula: see text] mm. Quantitative results, together with the analysis of probabilistic labelling, indicate the feasibility of accurate and consistent segmentation of larger structures, whereas this is not the case for many smaller structures, where a major limitation in segmentation accuracy is the inter-observer variability in manual contouring.
A new hybrid image-based visual servo control scheme
Publisher: IEEE
Date: 2000
New, New, New [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
A constraint to improve the reliability of stereo matching using the rank transform
Publisher: IEEE
Date: 1999
Behaviour of image degradation model in multiresolution
Publisher: Elsevier BV
Date: 11-2000
Analysis of Cardiac Substructure Dose in a Large, Multi-Centre Danish Breast Cancer Cohort (the DBCG HYPO trial): Trends and Predictive Modelling.
Publisher: Elsevier BV
Date: 12-2020
First Experience as EiC [From the Editor's Desk
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2010
Distributed object tracking with robot and disjoint camera networks
Publisher: IEEE
Date: 03-2011
From Robots to Animals: Virtual Fences for Controlling Cattle
Publisher: SAGE Publications
Date: 05-2006
Abstract: We consider the problem of monitoring and controlling the position of herd animals, and view animals as networked agents with natural mobility but not strictly controllable. By exploiting knowledge of in idual and herd behavior we would like to apply a vast body of theory in robotics and motion planning to achieving the constrained motion of a herd. In this paper we describe the concept of a virtual fence which applies a stimulus to an animal as a function of its pose with respect to the fenceline. Multiple fence lines can define a region, and the fences can be static or dynamic. The fence algorithm is implemented by a small position-aware computer device worn by the animal, which we refer to as a Smart Collar. We describe a herd-animal simulator, the Smart Collar hardware and algorithms for tracking and controlling animals as well as the results of on-farm experiments with up to ten Smart Collars.
Robot Navigation in Unseen Spaces Using an Abstract Map
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2021
A Chat with Matt Mason [Turning Point
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2010
Estimating ego-motion in panoramic image sequences with inertial measurements
Publisher: Springer Berlin Heidelberg
Date: 2011
Sensing and control on the sphere
Publisher: Springer Berlin Heidelberg
Date: 2011
Editorial to Announce Introduction of Multimedia
Publisher: SAGE Publications
Date: 03-2001
Wireless adhoc sensor and actuator networks on the farm
Publisher: ACM Press
Date: 2006
An empirical study of data collection protocols for wireless sensor networks
Publisher: ACM
Date: 04-2008
Long-duration solar-powered wireless sensor networks
Publisher: ACM
Date: 25-06-2007
eHealth System for Collecting and Utilizing Patient Reported Outcome Measures for Personalized Treatment and Care (PROMPT-Care) Among Cancer Patients: Mixed Methods Approach to Evaluate Feasibility and Acceptability
Publisher: JMIR Publications Inc.
Date: 02-10-2017
DOI: 10.2196/JMIR.8360
Vision-based control for mining automation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1998
DOI: 10.1109/100.740465
Springbrook: Challenges in developing a long-term, rainforest wireless sensor network
Publisher: IEEE
Date: 12-2008
Assessment of dose variation for accelerated partial-breast irradiation using rigid and deformable image registrations.
Publisher: Elsevier BV
Date: 2016
Fine-grained bird species recognition via hierarchical subset learning
Publisher: IEEE
Date: 09-2015
A search for consensus among model parameters reported for the PUMA 560 robot
Publisher: IEEE Comput. Soc. Press
Controller Design for High-Performance Visual Servoing
Publisher: Elsevier BV
Date: 07-1993
Vertical Infrastructure Inspection Using a Quadcopter and Shared Autonomy Control
Publisher: Springer Berlin Heidelberg
Date: 31-12-2013
Acupuncture for Cancer Related Pain: Protocol for a Pragmatic Randomised Wait-List Controlled Trial.
Publisher: SAGE Publications
Date: 2020
Abstract: Acupuncture has been proved effective for cancer related pain (CRP) in China, America and some other countries. However, there is relative lack of evidence to support the use of acupuncture for CRP in Australia. To assess the effectiveness and safety of acupuncture for management of CRP in a real-world setting and to understand cancer patients’ experience of undergoing acupuncture for CRP. A pragmatic randomised controlled trial will be conducted in South Western Sydney Local Health District (SWSLHD) in NSW, Australia. Adults with cancer related pain (n = 106) will be randomised in a 1:1 ratio to receive the acupuncture intervention up front versus after a wait list period of 4 weeks. Pain level (by Numerical Rating Scale), analgesic use, auricular acupressure frequency and adverse events will be assessed at baseline, mid-treatment and post-treatment. Expectancy on trial outcome (by Credibility and Expectancy questionnaire) will be assessed at baseline. The perspective of the participants (by an interview) will be recorded after the last intervention. We hypothesise that acupuncture will relieve cancer related pain at mid-treatment and post-treatment. We also hypothesise that few adverse events will be provoked by acupuncture. Australia New-Zealand Clinical Trial Registry (ACTRN12620000325909).
Decoupled Image-Based Visual Servoing for Cameras Obeying the Unified Projection Model
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2010
Estimation of optimal brachytherapy utilization rate in the treatment of malignancies of the uterine corpus by a review of clinical practice guidelines and the primary evidence.
Publisher: Elsevier BV
Date: 11-2008
Quantifying Multiscale Habitat Structural Complexity: A Cost-Effective Framework for Underwater 3D Modelling
Publisher: MDPI AG
Date: 04-02-2016
DOI: 10.3390/RS8020113
Dynamic Image-Based Visual Servo Control Using Centroid and Optic Flow Features
Publisher: ASME International
Date: 05-12-2008
DOI: 10.1115/1.2807085
Abstract: This paper considers the question of designing a fully image-based visual servo control for a class of dynamic systems. The work is motivated by the ongoing development of image-based visual servo control of small aerial robotic vehicles. The kinematics and dynamics of a rigid-body dynamical system (such as a vehicle airframe) maneuvering over a flat target plane with observable features are expressed in terms of an un-normalized spherical centroid and an optic flow measurement. The image-plane dynamics with respect to force input are dependent on the height of the camera above the target plane. This dependence is compensated by introducing virtual height dynamics and adaptive estimation in the proposed control. A fully nonlinear adaptive control design is provided that ensures asymptotic stability of the closed-loop system for all feasible initial conditions. The choice of control gains is based on an analysis of the asymptotic dynamics of the system. Results from a realistic simulation are presented that demonstrate the performance of the closed-loop system. To the author’s knowledge, this paper documents the first time that an image-based visual servo control has been proposed for a dynamic system using vision measurement for both position and velocity.
What are the attitudes of health professionals regarding patient reported outcome measures (PROMs) in oncology practice? A mixed-method synthesis of the qualitative evidence
Publisher: Springer Science and Business Media LLC
Date: 10-02-2020
DOI: 10.1186/S12913-020-4939-7
Abstract: The adoption of Patient Reported Outcome Measures (PROMs) in cancer care has been widely advocated, but little is known about the evidence for the implementation of PROMs in practice. Qualitative research captures the perspectives of health professionals as end-users of PROMs and can be used to inform adoption efforts. This paper presents a systematic review and synthesis of qualitative research conducted to address the question: What are the attitudes of health professionals towards PROMs in oncology, including any barriers and facilitators to the adoption of PROMS, reported in qualitative evidence? Systematic searches of qualitative evidence were undertaken in four databases and reviewed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies published in English between 1998 and 2018, which reported qualitative findings about the attitudes of health professionals working in oncology towards PROMs were eligible. Studies were assessed using the Critical Appraisal Skills Programme’s Qualitative Research Checklist. A sentiment analysis was conducted on primary text to examine the polarity (neutral, positive or negative) of health professionals’ views of PROMs. Qualitative meta-synthesis was conducted using a constant comparative analysis. From 1227 articles after duplicates were removed, with 1014 excluded against the screening criteria, 213 full text articles remained and were assessed 34 studies met the inclusion criteria and were included. The majority of studies were of good quality. Sentiment analysis on primary text demonstrated an overall positive polarity from the expressed opinions of health professionals. The meta-synthesis showed health professionals’ attitudes in four domains: identifying patient issues and needs using PROMs managing and addressing patient issues the care experience and the integration of PROMs into clinical practice. From the accounts of health professionals, the fit of PROMs with existing practice, how PROMs are valued, capacity to respond to PROMs and the supports in place, formed the key factors which may impede or promote adoption of PROMs in routine practice. To assist policy-makers and services involved in implementing these initiatives, further evidence is required about the relationship between PROMs data collection and corresponding clinical actions. International Prospective Register of Systematic Reviews (PROSPERO) CRD42019119447 , 6th March, 2019.
Medical Error – the Perspective of the Clinician and the Director of a Department Involved in an Error
Publisher: Elsevier BV
Date: 09-2017
Dynamics and Control
Publisher: Springer Berlin Heidelberg
Date: 2011
Learning crop models for vision-based guidance of agricultural robots
Publisher: IEEE
Date: 09-2015
Do cancer follow-up consultations create anxiety?
Publisher: Informa UK Limited
Date: 2008
Representing Position and Orientation
Publisher: Springer Berlin Heidelberg
Date: 2011
A review of the management of ductal carcinoma in situ following breast conserving surgery.
Publisher: Elsevier BV
Date: 12-2013
Introduction
Publisher: Springer Berlin Heidelberg
Date: 2011
Mobile Robot Vehicles
Publisher: Springer Berlin Heidelberg
Date: 2011
Time and Motion
Publisher: Springer Berlin Heidelberg
Date: 2011
Localization
Publisher: Springer Berlin Heidelberg
Date: 2011
Navigation
Publisher: Springer Berlin Heidelberg
Date: 2011
Velocity Relationships
Publisher: Springer Berlin Heidelberg
Date: 2011
Robot Arm Kinematics
Publisher: Springer Berlin Heidelberg
Date: 2011
The importance of quality and safety in radiotherapy delivery.
Publisher: Elsevier BV
Date: 06-2020
Cancer Care Team’s Management of Clinical Alerts Generated by Electronically Collected Patient Reported Outcomes: We Could Do Better
Publisher: MDPI AG
Date: 21-01-2012
Abstract: Electronically administered patient-reported outcome measures (ePROMs) are effective digital health tools for informing clinicians about cancer patients’ symptoms and facilitating timely patient-centred care. This paper describes the delivery of healthcare activities supported by the PROMPT-Care model, including ePROMs generated clinical alerts, cancer care team (CCT) response to alerts, and patients’ perceptions of the CCT response and ePROMs system. This mixed-methods study includes cancer patients from four cancer therapy centres in New South Wales, Australia. Quantitative and qualitative data were collected regarding clinical alert activity, CCT response, and patient perceptions of the CCT responses and ePROMs system. Qualitative data were thematically analysed. Of the 328 participants whose care was informed by the digital health tool, 70.8% (n = 233) generated at least one alert during the trial period, with 877 alerts generated in total. Although 43.7% (n = 383) were actioned by the CCT, at least 80% of participants found follow-up CCT phone calls beneficial, with multiple benefits confirmed in interviews. The cancer care delivery arm of the PROMPT-Care trial involving clinical alerts to the CCT was positively perceived by most participants, resulting in a erse range of benefits. However, further work is required, informed by implementation science, to improve the percentage of actioned clinical alerts.
Strain Imaging Detects Dose-Dependent Segmental Cardiac Dysfunction in the Acute Phase After Breast Irradiation.
Publisher: Elsevier BV
Date: 09-2017
DOI: 10.1016/J.IJROBP.2017.05.030
Abstract: We examined the utility of echocardiographic 2-dimensional speckle tracking strain imaging (SI) for the evaluation of segmental myocardial dysfunction before and after radiation therapy (RT) and the relationship to dose exposure. We prospectively recruited 40 women with left-sided breast cancer, undergoing only adjuvant RT to the left chest. Comparisons of traditional echocardiographic parameters and SI parameters at baseline and 6 weeks after RT were analyzed. Regional strain and strain rate (SR) parameters were obtained from all 18 left ventricular segments. The correlation of change in strain parameters with segmental radiation dose was examined. We observed a significant reduction in global and segmental systolic strain parameters at 6 weeks after RT compared with baseline, with the largest decrement in the apical segments this corresponded with the segments receiving the highest radiation dose exposure (apical peak systolic strain of -21.21% ± 3.49% before RT vs -18.69% ± 3.34% after RT, percentage change of 11.88%, P=.002 apical peak systolic SR of -1.17 ± 0.24 s Two-dimensional SI detected dose-related regional myocardial dysfunction in the acute phase after RT in chemotherapy-naive left-sided breast cancer patients. Although the long-term effects remain unknown, this imaging modality may have a potential role in the evaluation of irradiation-related cardiotoxicity.
The impact of breast cosmetic and functional outcomes on quality of life: long-term results from the St. George and Wollongong randomized breast boost trial.
Publisher: Springer Science and Business Media LLC
Date: 12-04-2013
Robotic detection and tracking of Crown-of-Thorns starfish
Publisher: IEEE
Date: 09-2015
Stepping into the real world: a mixed-methods evaluation of the implementation of electronic patient reported outcomes in routine lung cancer care.
Publisher: Springer Science and Business Media LLC
Date: 16-02-2026
DOI: 10.1186/S41687-022-00475-6
Abstract: To realize the broader benefits of electronic patient-reported outcome measures (ePROMs) in routine care, we used the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to inform the translation of a clinically effective ePROM system (hereafter referred to as the PRM system) into practice. The study aimed to evaluate the processes and success of implementing the PRM system in the routine care of patients diagnosed with lung cancer. A controlled before-and-after mixed-methods study was undertaken. Data sources included a self-report questionnaire and interviews with healthcare providers, electronic health record data for PRMs patients and historical controls, and field notes. Descriptive statistics, logistic regression modelling, negative binomial models, generalized estimating equations and repeated measures ANOVA were used to analyze quantitative data. Qualitative data was thematically analyzed. A total of 48/79 eligible people diagnosed with lung cancer completed 90 assessments during the 5-month implementation period (RE-AIM reach ). Every assessment breached the pre-defined threshold and care coordinators reviewed and actioned 95.6% of breaches, resulting in 146 referrals to allied health services, most frequently for social work (25.3%), dietetics (18.5%), physiotherapy (18.5%) and occupational therapy (17.1%). PRMs patients had significantly fewer visits to the cancer assessment unit for problematic symptoms (M = 0.23 vs. M = 0.43 p = 0.035), and were significantly more likely to be offered referrals (71% vs. 29%, p 0.0001) than historical controls (RE-AIM effect ). The levels of ‘organizational readiness for implementing change’ (ORIC) did not show much differences between baseline and follow-up, though this was already high at baseline but significantly more staff reported improved confidence when asking patients to complete assessments (64.7% at baseline vs. 88.2% at follow-up, p = 0.0046), and when describing the assessment tool to patients (64.7% at baseline vs. 76.47% at follow-up, p = 0.0018) (RE-AIM adoption ). A total of 78 staff received PRM system training, and 95.6% of the PRM system alerts were actioned (RE-AIM implementation ) and all lung cancer care coordinators were engaged with the PRM system beyond the end of the study period (RE-AIM maintenance ). This study demonstrates the potential of the PRM system in enhancing the routine care of lung cancer patients, through leveraging the capabilities of automated web-based care options. Research has shown the clear benefits of using electronically collected patient-reported outcome measures (ePROMs) for cancer patients and health services. However, we need to better understand how to implement ePROMs as part of routine care. This study evaluated the processes and outcomes of implementing an ePROMs system in the routine care of patients diagnosed with lung cancer. Key findings included: (a) a majority of eligible patients completed the scheduled assessments (b) patient concerns were identified in every assessment, and care coordinators reviewed and actioned almost all of these, including making significantly more referrals to allied health services (c) patients completing assessments regularly were less likely to present to the cancer assessment unit with problematic symptoms, suggesting that ePROMs identified patient concerns early and this led to a timely response to concerns (d) staff training and engagement was high, and staff reporting increased confidence when asking patients to complete assessments and when describing the assessment tool to patients at the end of the implementation period. This study shows that implementing ePROMs in routine care is feasible and can lead to improvements in patient care.
An Inertial and Visual Sensing System for a Small Autonomous Helicopter
Publisher: Wiley
Date: 2004
DOI: 10.1002/ROB.10127
Survey of image-guided radiotherapy use in Australia.
Publisher: Wiley
Date: 09-11-2016
Modelling and simulation of an electro-hydraulic mining manipulator
Publisher: IEEE
Editorial for Journal of Field Robotics—Special Issue on Field and Service Robotics
Publisher: Wiley
Date: 06-2006
DOI: 10.1002/ROB.20139
Farewells and Welcomes [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2012
Stable image-based visual servoing with unknown point feature correspondence
Publisher: IEEE
Date: 12-2018
Mining Robotics
Publisher: Springer Berlin Heidelberg
Date: 2008
Autonomous excavation using a rope shovel
Publisher: Wiley
Date: 06-2006
DOI: 10.1002/ROB.20132
Abstract: This paper describes the development of a system to automate the digging cycle of an electric rope shovel, a machine which is widely used in open‐pit mining. Achieving optimal digging performance requires path planning strategies to ensure dipper (bucket) filling, as well as methods to detect when to disengage the dipper from the bank. To this end, techniques to detect and avert dipper stall, and the online estimation of dipper “full‐ness,” are described along with in‐field experimental results using a one‐seventh scale‐model electric rope shovel. Over 100 autonomous excavation cycles, in a variety of digging conditions, resulted in cycle times consistent with a human operator, but with lower overall motor loading. © 2006 Wiley Periodicals, Inc.
Adaptive depth estimation in image based visual servo control of dynamic systems
Publisher: IEEE
Date: 2005
Long-range stereo visual odometry for extended altitude flight of unmanned aerial vehicles
Publisher: SAGE Publications
Date: 18-05-2015
Abstract: Visual Odometry is a key technology for robust and accurate navigation of unmanned aerial vehicles in a number of low altitude applications ( m), particularly in environments where access to a global positioning system is possible, but not guaranteed. Navigating via vision alone reduces dependence on a global positioning system and other global navigation satellite systems, enhancing navigation robustness even in the presence of jamming, spoofing or long dropouts. To date, however, most demonstrations of visual odometry are in close proximity to the ground or other structures and are often implemented as a monocular camera combined with inertial sensing, rather than vision alone, to account for scale drift. Stereo visual odometry has received little attention for applications beyond 30 m altitude due to the generally poor performance of stereo rigs for these extremely small baseline-to-depth ratios, otherwise termed long-range stereo. This paper demonstrates stereo visual pose estimation at altitudes of up to 120 m above ground level on a small fixed-wing unmanned aerial vehicle by adapting the traditional stereo visual odometry paradigm to explicitly account for inaccurate triangulation and poorly observed scale from the stereo baseline. In addition, issues related to long-range stereo such as biased sensing are investigated to justify the approach, and a novel bundle adjustment algorithm is presented capable of handling vibration induced structural deformation between the cameras. This is achieved by continually optimizing the stereo transform within a set of inequality bounds. Results are presented demonstrating the algorithm on field-gathered data from a 2 m wingspan fixed-wing unmanned aerial vehicle flying at 30-120 m altitude over a 6.5 km trajectory.
Field and Service Robotics
Publisher: Springer International Publishing
Date: 2015
Open access
Publisher: Oxford University Press (OUP)
Date: 17-04-2007
DOI: 10.1093/ELT/CCN035
Novelty-based visual obstacle detection in agriculture
Publisher: IEEE
Date: 05-2014
Clinical trials knowledge and attitudes of Vietnamese- and Anglo-Australian cancer patients: A cross-sectional study.
Publisher: Wiley
Date: 10-08-2020
DOI: 10.1111/AJCO.13388
Hypofractionated versus conventionally fractionated radiotherapy for ductal carcinoma in situ (DCIS) of the breast
Publisher: Wiley
Date: 05-01-2016
Abstract: Hypofractionated radiotherapy (RT) in the setting of early invasive breast cancer has been shown to have similar local control rates and cosmetic outcomes as conventionally fractionated RT. This study compares ipsilateral recurrence rates between hypofractionated and conventional RT, with and without a boost. The effect of hypofractionated RT and chest wall separation (CWS) on cosmetic outcome was also assessed. All patients with ductal carcinoma in situ (DCIS) treated between 1998 and 2012 across two sites of a single cancer institution were retrospectively studied. Patients were analysed according to those receiving conventional RT (≤2 Gy per fraction) and those receiving hypofractionated RT (>2 Gy per fraction), as well as the presence or absence of a tumour bed boost. Data were collected through electronic medical records and local cancer registry. Cosmetic outcome was scored by physicians on a four-point scale during clinical follow-up appointments. One hundred and ninety-seven patients were treated for DCIS during the study period. One hundred and forty-one were treated with conventional RT, and 56 with hypofractionated RT. After a median follow up of 4.4 years, there were 12 ipsilateral recurrences, of which seven were invasive disease and five DCIS. Ten recurrences occurred in patients who received conventional RT (7.1% recurrence rate) and two in those who received hypofractionated RT (3.6% recurrence rate) (P = 0.48). Cosmetic outcomes were not significantly different between conventional and hypofractionated RT (P = 0.06). Hypofractionation represents a suitable alternative for treating DCIS in the absence of randomised data.
Aerial SLAM with a Single Camera Using Visual Expectation
Publisher: IEEE
Date: 05-2011
Patterns of care study of brachytherapy in New South Wales: malignancies of the uterine corpus.
Publisher: Termedia Sp. z.o.o.
Date: 2015
A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges
Publisher: Field Robotics Publication Society
Date: 10-03-2022
DOI: 10.55417/FR.2022049
Abstract: Understanding the terrain in the upcoming path of a ground robot is one of the most challenging problems in field robotics. Terrain and traversability analysis is a multidisciplinary field combining robotics with image and signal processing, feature extraction, machine learning, three-dimensional (3D) mapping, and 3D geometry. Application scenarios range from autonomous vehicles on urban networks to agriculture, defence, exploration, mining, and search and rescue. Given the broad set of techniques available and the fast progress in this area, in this paper we organize and survey the corresponding literature, define unambiguous key terms, and discuss links among fundamental building blocks ranging from terrain classification to traversability regression. The advantages and the drawbacks of the methods are critically discussed, providing a comprehensive coverage of key aspects, including open code, available datasets for experimentation and comparisons, and important open research issues.
Special Issue on the Fifth International Conference on Field and Service Robotics, 2005
Publisher: SAGE Publications
Date: 02-2007
Robotic Vision
Publisher: Springer International Publishing
Date: 2022
Development of a 3500-Tonne Field Robot
Publisher: SAGE Publications
Date: 07-1999
DOI: 10.1177/02783649922066547
Abstract: The mining industry is highly suitable for the application of robotics and automation technology, since the work is arduous, dangerous, and often repetitive. This paper presents a broad overview of the issues involved in the development of a physically large and complex field robotic system—a 3500-tonne mining machine (dragline). Draglines are “walking cranes” used in open-pit coal mining to remove the material covering a coal seam. The critical issues of robust load position sensing, modeling of the dynamics of the electrical drive system and the swinging load, control strategies, the operator interface, and automation system architecture are addressed. An important aspect of this system is that it must work cooperatively with a human operator, seamlessly passing control back and forth in order to achieve the main aim—increased productivity.
A multiresolution based image segmentation
Publisher: IEE
Date: 1999
DOI: 10.1049/CP:19990386
Evaluation of internal navigation sensor suites for underground mining vehicle navigation
Publisher: IEEE
Date: 1999
Vision based guidance for robot navigation in agriculture
Publisher: IEEE
Date: 05-2014
Experimental comparison of odometry approaches
Publisher: Springer International Publishing
Date: 2013
Simple change detection from mobile light field cameras
Publisher: Elsevier BV
Date: 04-2016
Building Large Scale Traversability Maps Using Vehicle Experience
Publisher: Springer International Publishing
Date: 2013
The complexities, coordination, culture and capacities that characterise the delivery of oncology services in the common areas of ambulatory settings.
Publisher: Springer Science and Business Media LLC
Date: 12-02-2022
DOI: 10.1186/S12913-022-07593-3
Abstract: Relatively little is understood about real-world provision of oncology care in ambulatory outpatient clinics (OPCs). This study aimed to: 1) develop an understanding of behaviours and practices inherent in the delivery of cancer services in OPC common areas by characterising the organisation and implementation of this care and 2) identify barriers to, and facilitators of, the delivery of this care in OPC common areas. A purpose-designed ethnographic study was employed in four public hospital OPCs. Informal field scoping activities were followed by in-situ observations, key informant interviews and document review. A view of OPCs as complex adaptive systems was used as a scaffold for the data collection and interpretation, with the intent of understanding ‘work as done’. Data were analysed using an adapted “Qualitative Rapid Appraisal, Rigorous Analysis” approach. Field observations were conducted over 135 h, interviews over 6.5 h and documents were reviewed. Analysis found six themes. Staff working in OPCs see themselves as part of small local teams and as part of a broader multidisciplinary care team. Professional role boundaries could be unclear in practice, as duties expanded to meet demand or to stop patients “falling through the cracks.” Formal care processes in OPCs were supported by relationships, social capital and informal, but invaluable, institutional expertise. Features of the clinic layout, such as the proximity of departments, affected professional interactions. Staff were aware of inter- and intra-service communication difficulties and employed strategies to minimise negative impacts on patients. We found that complexity, coordination, culture and capacity underpin the themes that characterise this care provision. The study advances understanding of how multidisciplinary care is delivered in ambulatory settings and the factors which promote or inhibit effective care practice. Time pressures, communication challenges and competing priorities can pose barriers to care delivery. OPC care is facilitated by: self-organisation of participants professional acumen institutional knowledge social ties and relationships between and within professional groups and commitment to patient-centred care. An understanding of the realities of ‘work-as-done’ may help OPCs to sustain high-quality care in the face of escalating service demand.
Estimation of an optimal chemotherapy utilisation rate for primary malignant brain tumours: an evidence-based benchmark for cancer care.
Publisher: Elsevier BV
Date: 02-2011
ElectricCow: a simulator for mobile sensors and actuators mounted on herds of cattle
Publisher: IEEE (Comput. Soc.)
Date: 2004
DOI: 10.1109/LCN.2004.50
Can the Aviation Industry be Useful in Teaching Oncology about Safety?
Publisher: Elsevier BV
Date: 10-2017
DOI: 10.1016/J.CLON.2017.06.007
Abstract: Healthcare practitioners have long considered aviation as a domain from which much can be learned about safety. Over the past 30 years, attempts have been made to apply aviation safety-related concepts to healthcare. Although some applications have been successful, a few decades later, many healthcare safety experts have learned that the appeal of the aviation-healthcare analogy is an illusion. Both domains are so basically dissimilar that simple adoption of aviation concepts will not be successful. However, what has succeeded is healthcare's adaptation of specific aviation safety concepts. Three concepts, investment in safety, human factors and safety management systems, are described and ex les are given of adapted applications to healthcare/clinical oncology. Finally, there is a need to ensure that these concepts are applied systematically throughout healthcare rather than sporadically and without a centralised mandate, to help ensure success and improved patient and provider safety.
Safety in Radiotherapy mini-series
Publisher: Elsevier BV
Date: 09-2017
Editorial for issue number 1, Journal of Field Robotics
Publisher: Wiley
Date: 2006
DOI: 10.1002/ROB.20112
Frame-rate stereopsis using non-parametric transforms and programmable logic
Publisher: IEEE
Visual Place Recognition: A Survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Cross-calibration of push-broom 2D LIDARs and cameras in natural scenes
Publisher: IEEE
Date: 05-2013
Revocation and update of trust in autonomous delay tolerant networks
Publisher: Elsevier BV
Date: 07-2016
A hybrid stereo matching algorithm incorporating the rank constraint
Publisher: IEE
Date: 1999
DOI: 10.1049/CP:19990276
TriggerSync: A time synchronisation tool
Publisher: IEEE
Date: 05-2015
Refractive Light-Field Features for Curved Transparent Objects in Structure From Motion
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
Mobile Robot Navigation As A Planar Visual Servoing Problem
Publisher: Springer Berlin Heidelberg
Nonlinear Model Predictive Formation Control for Quadcopters**This work was supported by FAPESB, CNPq and CAPES.
Publisher: Elsevier BV
Date: 2015
Development and Feasibility Testing of PROMPT-Care, an eHealth System for Collection and Use of Patient-Reported Outcome Measures for Personalized Treatment and Care: A Study Protocol
Publisher: JMIR Publications Inc.
Date: 24-11-2016
DOI: 10.2196/RESPROT.6459
Somatic gene editing ameliorates skeletal and cardiac muscle failure in pig and human models of Duchenne muscular dystrophy
Publisher: Springer Science and Business Media LLC
Date: 27-01-2020
The Benefits of Providing External Beam Radiotherapy in Low- and Middle-income Countries.
Publisher: Elsevier BV
Date: 02-2016
Performance tests of partitioned approaches to visual servo control
Publisher: IEEE
Date: 2002
Estimating the need for radiotherapy for patients with prostate, breast, and lung cancers: verification of model estimates of need with radiotherapy utilization data from British Columbia.
Publisher: Elsevier BV
Date: 04-2011
Steering kinematics for a center-articulated mobile robot
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2001
DOI: 10.1109/70.928568
The challenge of putting principles into practice: Resource tensions and real-world constraints in multidisciplinary oncology team meetings.
Publisher: Wiley
Date: 21-05-2019
DOI: 10.1111/AJCO.13166
Patterns of use of palliative radiotherapy fractionation for bone metastases and 30-day mortality
Publisher: Elsevier BV
Date: 2021
Real-World Wireless Sensor Networks
Publisher: Springer Berlin Heidelberg
Date: 2010
A new framework for force feedback teleoperation of robotic vehicles based on optical flow
Publisher: IEEE
Date: 05-2009
OpenRatSLAM: an open source brain-based SLAM system
Publisher: Springer Science and Business Media LLC
Date: 21-02-2013
Low-cost vision-based AUV guidance system for reef navigation
Publisher: IEEE
Date: 2004
Estimation of the optimal brachytherapy utilization rate in the treatment of gynecological cancers and comparison with patterns of care.
Publisher: Elsevier BV
Date: 02-2013
DRAGLINE SWING AUTOMATION
Publisher: World Scientific Pub Co Pte Lt
Date: 09-1999
Aircraft collision avoidance using spherical visual predictive control and single point features
Publisher: IEEE
Date: 11-2013
The population benefit of evidence-based radiotherapy: 5-Year local control and overall survival benefits.
Publisher: Elsevier BV
Date: 02-2017
Image-Based Visual Servoing With Unknown Point Feature Correspondence
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2017
Evidence-based optimal number of radiotherapy fractions for cancer: A useful tool to estimate radiotherapy demand.
Publisher: Elsevier BV
Date: 04-2015
Barriers and Facilitators to Integrative Oncology Services in Australia: A Changed Mind Set Required.
Publisher: Mary Ann Liebert Inc
Date: 03-2021
A real-time software architecture for robotics and automation
Publisher: IEEE
Date: 1999
Impact of radiotherapy underutilisation measured by survival shortfall, years of potential life lost and disability-adjusted life years lost in New South Wales, Australia.
Publisher: Elsevier BV
Date: 11-2018
Semantic segmentation from limited training data
Publisher: IEEE
Date: 05-2018
Subset feature learning for fine-grained category classification
Publisher: IEEE
Date: 06-2015
No improvement in lung cancer care: The management of lung cancer in 1996 and 2002 in New South Wales
Publisher: Wiley
Date: 07-2009
DOI: 10.1111/J.1445-5994.2008.01788.X
Abstract: Patterns-of-care studies emphasize significant variation in the management of lung cancer. The aim of the study was to compare the patterns of care for patients diagnosed with lung cancer in 1996 and 2002 within three health areas in New South Wales. Treatment data were collected from medical records and treating doctors for the calendar year 1996 and between 1 November 2001 and 31 December 2002. Patients were residents of either south-western Sydney, Hunter or Northern Sydney health areas at the time of diagnosis. chi(2)-tests were used to investigate changes in treatment patterns between the two time periods. An adjusted odds ratio for treatment in 2002 relative to 1996 was calculated using logistic regression. Data were available for 738 and 567 cases in 1996 and 2002, respectively. Cancer-specific therapy was given within 6 months of diagnosis to 62 and 64% of patients, respectively. Adjusting for health area, age, sex, pathology and performance status, the odds ratio (OR) of treatment in 2002 relative to 1996 was 1.03 (95% confidence interval (CI) 0.78-1.35). When stage was included, the odds of treatment in 2002 relative to 1996 for non-small-cell lung cancer (n = 950) was 1.21 (95%CI 0.87-1.68). After adjustment for potential confounders, patients diagnosed with small-cell lung cancer (n = 176) were substantially less likely to receive treatment in 2002 compared with patients diagnosed in 1996 (OR = 0.11 95%CI 0.04-0.34). The odds of receiving treatment in 2002 and 1996 were similar. However, patients diagnosed with small-cell lung cancer in 2002 were significantly less likely to receive treatment. Overall, this study suggests there has been no change in lung cancer care in New South Wales. Further work is required to determine what proportion of persons with lung cancer should receive cancer-specific treatment so that clinical practices can be judged appropriately.
Patterns of care study of brachytherapy in New South Wales: cervical cancer treatment quality depends on caseload.
Publisher: Termedia Sp. z.o.o.
Date: 2014
Design of a static thruster for microair vehicle rotorcraft
Publisher: American Society of Civil Engineers (ASCE)
Date: 2009
Digital photography as source documentation of skin toxicity: an analysis from the Trans Tasman Radiation Oncology Group (TROG) 04.01 post-mastectomy radiation skin care trial.
Publisher: Wiley
Date: 25-05-2012
Using accelerometer, high sample rate GPS and magnetometer data to develop a cattle movement and behaviour model
Publisher: Elsevier BV
Date: 09-2009
Robotics: The Past and Future [From the Editor's Desk
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2010
Monitoring Animal Behaviour and Environmental Interactions Using Wireless Sensor Networks, GPS Collars and Satellite Remote Sensing
Publisher: MDPI AG
Date: 13-05-2009
DOI: 10.3390/S90503586
Estimation of an optimal chemotherapy utilisation rate for breast cancer: setting an evidence-based benchmark for the best-quality cancer care.
Publisher: Elsevier BV
Date: 03-2010
Interpreting and Acting on the PRO Scores From the Patient-reported Outcomes for Personalized Treatment and Care (PROMPT-Care) eHealth System.
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 05-2019
DOI: 10.1097/MLR.0000000000001094
Abstract: Patient-reported Outcomes for Personalized Treatment and Care (PROMPT-Care) is the first eHealth system in Australia that is fully electronically integrated into hospital oncology information systems, enabling real-time, routine collection of patient-reported outcomes (PROs) to support and enable cancer patients to achieve and maintain improved health, well-being, and cancer outcomes. Five previously published papers detail the impetus for developing this eHealth system, its development, and testing of its acceptability and feasibility, the development of algorithms to standardize the cancer care pathways which underpin patient care, and the protocol for evaluating the efficacy of PROMPT-Care. This manuscript provides “how-to” guidance to inform future system development, focusing on selecting relevant PROs and measuring them in cancer patients, score interpretation, and determining recommended care in response to scores which are above the predetermined threshold. Electronic PRO systems are increasingly used in cancer clinical care settings, with the potential to support timely patient-centered care when implemented appropriately. PRO selection should consider patient response burden, and prioritizing PROs that are amenable to clinical intervention. Having clear, evidence-based, care pathways, and actionable recommendations in response to above-threshold PRO scores facilitate PRO integration into the clinical workflow. Centers should determine thresholds for clinical action for each PRO which provide an acceptable balance between false positives and false negatives and develop care pathway recommendations which consider the availability of local services and resources, are feasible in the clinical setting, clear, concise, manageable, based on evidence-based guidelines, and adaptable to local environments.
Dynamic effects in high-performance visual servoing
Publisher: IEEE Comput. Soc. Press
Risks and benefits of reducing target volume margins in breast tangent radiotherapy
Publisher: Springer Science and Business Media LLC
Date: 27-02-2017
DOI: 10.1007/S13246-017-0529-3
Abstract: This study investigates the potential benefits of planning target volume (PTV) margin reduction for whole breast radiotherapy in relation to dose received by organs at risk (OARs), as well as reductions in radiation-induced secondary cancer risk. Such benefits were compared to the increased radiation-induced secondary cancer risk attributed from increased ionizing radiation imaging doses. Ten retrospective patients' computed tomography datasets were considered. Three computerized treatment plans with varied PTV margins (0, 5 and 10 mm) were created for each patient complying with the Radiation Therapy Oncology Group (RTOG) 1005 protocol requirements. The BEIR VII lifetime attributable risk (LAR) model was used to estimate secondary cancer risk to OARs. The LAR was assessed for all treatment plans considering (a) doses from PTV margin variation and (b) doses from two (daily and weekly) kilovoltage cone beam computed tomography (kV CBCT) imaging protocols during the course of treatment. We found PTV margins from largest to smallest resulted in a mean OAR relative dose reduction of 31% (heart), 28% (lung) and 23% (contralateral breast) and the risk of radiation-induced secondary cancer by a relative 23% (contralateral breast) and 22% (contralateral lung). Daily image-guidance using kV CBCT increased the risk of radiation induced secondary cancer to the contralateral breast and contralateral lung by a relative 1.6-1.9% and 1.9-2.5% respectively. Despite the additional dose from kV CBCT for the two considered imaging protocols, smaller PTV margins would still result in an overall reduction in secondary cancer risk.
Do multidisciplinary meetings follow guideline-based care?
Publisher: American Society of Clinical Oncology (ASCO)
Date: 11-2010
Abstract: Multidisciplinary meeting recommendations are largely concordant with guidelines in the treatment of lung cancer.
Mobile Manipulation [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2012
Coverage of cancer services in Australia and providers' views on service gaps: findings from a national cross-sectional survey.
Publisher: Springer Science and Business Media LLC
Date: 11-06-2019
Long exposure localization in darkness using consumer cameras
Publisher: IEEE
Date: 05-2013
Robotics Research
Publisher: Springer International Publishing
Date: 2016
Generic decoupled image-based visual servoing for cameras obeying the unified projection model
Publisher: IEEE
Date: 05-2009
Variable structure methods in hydraulic servo systems control
Publisher: Elsevier BV
Date: 04-2001
Robotics, Vision and Control
Publisher: Springer International Publishing
Date: 2023
EGAD! An Evolved Grasping Analysis Dataset for Diversity and Reproducibility in Robotic Manipulation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Patterns of palliative radiotherapy fractionation for brain metastases patients in New South Wales, Australia
Publisher: Elsevier BV
Date: 03-2021
A comparison of systemic breast cancer therapy utilization in Canada (British Columbia), Scotland (Dundee), and Australia (Western Australia) with models of optimal therapy.
Publisher: Elsevier BV
Date: 08-2012
ERTP: Energy-efficient and Reliable Transport Protocol for data streaming in Wireless Sensor Networks
Publisher: Elsevier BV
Date: 05-2009
Robot Manipulator Capability in MATLAB: A Tutorial on Using the Robotics System Toolbox [Tutorial]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
The effect of measurement noise on intrinsic camera calibration parameters
Publisher: IEEE
Manipulator Differential Kinematics: Part 2: Acceleration and Advanced Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Wide-angle Visual Feature Matching for Outdoor Localization
Publisher: SAGE Publications
Date: 07-12-2009
Abstract: Wide-angle images exhibit significant distortion for which existing scale-space detectors such as the scale-invariant feature transform (SIFT) are inappropriate. The required scale-space images for feature detection are correctly obtained through the convolution of the image, mapped to the sphere, with the spherical Gaussian. A new visual key-point detector, based on this principle, is developed and several computational approaches to the convolution are investigated in both the spatial and frequency domain. In particular, a close approximation is developed that has comparable computation time to conventional SIFT but with improved matching performance. Results are presented for monocular wide-angle outdoor image sequences obtained using fisheye and equiangular catadioptric cameras. We evaluate the overall matching performance (recall versus 1-precision) of these methods compared to conventional SIFT. We also demonstrate the use of the technique for variable frame-rate visual odometry and its application to place recognition.
Manipulator Differential Kinematics: Part I: Kinematics, Velocity, and Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Image-based visual navigation for mobile robots
Publisher: IEEE
Date: 05-2013
What Can Robotics Research Learn from Computer Vision Research?
Publisher: Springer International Publishing
Date: 2022
Vision‐based Obstacle Detection and Navigation for an Agricultural Robot
Publisher: Wiley
Date: 13-01-2016
DOI: 10.1002/ROB.21644
Robotics, Vision and Control
Publisher: Springer International Publishing
Date: 2023
Editorial: Special Issue on Field and Service Robotics
Publisher: Wiley
Date: 17-11-2015
DOI: 10.1002/ROB.21642
A meta-study of PUMA 560 dynamics: A critical appraisal of literature data
Publisher: Cambridge University Press (CUP)
Date: 05-1995
DOI: 10.1017/S0263574700017781
Abstract: The paper presents a meta-study of the kinematic, dynamic and electrical parameters for the PUMA 560 robot. Parameter values which have been reported in the literature are transformed into a single system of units and coordinates, and differences in the data and measurement techniques are discussed. New data have been gathered and are presented where the record was incomplete.
Video-rate visual servoing for robots
Publisher: Springer-Verlag
DOI: 10.1007/BFB0042533
Close-quarters Quadrotor flying for a pole inspection with position based visual servoing and high-speed vision
Publisher: IEEE
Date: 05-2014
Estimation of the optimal number of radiotherapy fractions for breast cancer: A review of the evidence.
Publisher: Elsevier BV
Date: 08-2015
Persistent reduction in global longitudinal strain in the longer term after radiation therapy in patients with breast cancer.
Publisher: Elsevier BV
Date: 03-2018
Toward trusted wireless sensor networks
Publisher: Association for Computing Machinery (ACM)
Date: 08-2010
Abstract: This article presents the design and implementation of a trusted sensor node that provides Internet-grade security at low system cost. We describe trustedFleck, which uses a commodity Trusted Platform Module (TPM) chip to extend the capabilities of a standard wireless sensor node to provide security services such as message integrity, confidentiality, authenticity , and system integrity based on RSA public-key and XTEA-based symmetric-key cryptography. In addition trustedFleck provides secure storage of private keys and provides platform configuration registers (PCRs) to store system configurations and detect code t ering. We analyze system performance using metrics that are important for WSN applications such as computation time, memory size, energy consumption and cost. Our results show that trustedFleck significantly outperforms previous approaches (e.g., TinyECC) in terms of these metrics while providing stronger security levels. Finally, we describe a number of ex les, built on trustedFleck, of symmetric key management, secure RPC, secure software update, and remote attestation .
Data collection, storage, and retrieval with an underwater sensor network
Publisher: ACM
Date: 02-11-2005
Spherical Diffusion for Scale-Invariant Keypoint Detection in Wide-Angle Images
Publisher: IEEE
Date: 2008
Click to Vote [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2013
Prostate brachytherapy in New South Wales: patterns of care study and impact of caseload on treatment quality.
Publisher: Termedia Sp. z.o.o.
Date: 2015
An evidence-based estimation of local control and survival benefit of radiotherapy for breast cancer.
Publisher: Elsevier BV
Date: 07-2007
A bondgraph approach to formation control using relative state measurements
Publisher: IEEE
Date: 07-2013
An RPC-Based Service Framework for Robot and Sensor Network Integration
Publisher: IEEE
Date: 05-2011
A pressure-based, velocity independent, friction model for asymmetric hydraulic cylinders
Publisher: IEEE
Energy-efficient localization
Publisher: Association for Computing Machinery (ACM)
Date: 03-2013
Abstract: GPS is a commonly used and convenient technology for determining absolute position in outdoor environments, but its high power consumption leads to rapid battery depletion in mobile devices. An obvious solution is to duty cycle the GPS module, which prolongs the device lifetime at the cost of increased position uncertainty while the GPS is off. This article addresses the trade-off between energy consumption and localization performance in a mobile sensor network application. The focus is on augmenting GPS location with more energy-efficient location sensors to bound position estimate uncertainty while GPS is off. Empirical GPS and radio contact data from a large-scale animal tracking deployment is used to model node mobility, radio performance, and GPS. Because GPS takes a considerable, and variable, time after powering up before it delivers a good position measurement, we model the GPS behavior through empirical measurements of two GPS modules. These models are then used to explore duty cycling strategies for maintaining position uncertainty within specified bounds. We then explore the benefits of using short-range radio contact logging alongside GPS as an energy-inexpensive means of lowering uncertainty while the GPS is off, and we propose strategies that use RSSI ranging and GPS back-offs to further reduce energy consumption. Results show that our combined strategies can cut node energy consumption by one third while still meeting application-specific positioning criteria.
Training Deep Neural Networks for Visual Servoing
Publisher: IEEE
Date: 05-2018
In situ measurement of motor electrical constants
Publisher: Cambridge University Press (CUP)
Date: 07-1996
DOI: 10.1017/S0263574700019834
Abstract: Motor torque constant is an important parameter in modeling and controlling a robot axis. In practice this parameter can vary considerably from the manufacturer's specification, if available, and this makes it desirable to characterise in idual motors. Traditional techniques require that the motor can be removed from the robot for testing, or that an elaborate technique involving weights and pulleys be employed. This paper describes a novel method for measuring the torque constant of robot servo motors in situ and is based on the equivalence of motor torque and back EMF constants. It requires a very simple experimental procedure, utilizes existing axis position sensors, and eliminates effects due to static friction and joint cross coupling. A straightforward extension to this approach can provide a measurement of motor armature impedance. Experimental results obtained for a Puma 560 are discussed and compared with other published results.
System identification, estimation and control for a cost effective open-source quadcopter
Publisher: IEEE
Date: 05-2012
Choice of image features for depth-axis control in image based visual servo control
Publisher: IEEE
Height Estimation for an Autonomous Helicopter
Publisher: Springer Berlin Heidelberg
The potential for an enhanced role for MRI in radiation-therapy treatment planning.
Publisher: SAGE Publications
Date: 10-2013
Abstract: The exquisite soft-tissue contrast of magnetic resonance imaging (MRI) has meant that the technique is having an increasing role in contouring the gross tumor volume (GTV) and organs at risk (OAR) in radiation therapy treatment planning systems (TPS). MRI-planning scans from diagnostic MRI scanners are currently incorporated into the planning process by being registered to CT data. The soft-tissue data from the MRI provides target outline guidance and the CT provides a solid geometric and electron density map for accurate dose calculation on the TPS computer. There is increasing interest in MRI machine placement in radiotherapy clinics as an adjunct to CT simulators. Most vendors now offer 70 cm bores with flat couch inserts and specialised RF coil designs. We would refer to these devices as MR-simulators. There is also research into the future application of MR-simulators independent of CT and as in-room image-guidance devices. It is within the background of this increased interest in the utility of MRI in radiotherapy treatment planning that this paper is couched. The paper outlines publications that deal with standard MRI sequences used in current clinical practice. It then discusses the potential for using processed functional diffusion maps (fDM) derived from diffusion weighted image sequences in tracking tumor activity and tumor recurrence. Next, this paper reviews publications that describe the use of MRI in patient-management applications that may, in turn, be relevant to radiotherapy treatment planning. The review briefly discusses the concepts behind functional techniques such as dynamic contrast enhanced (DCE), diffusion-weighted (DW) MRI sequences and magnetic resonance spectroscopic imaging (MRSI). Significant applications of MR are discussed in terms of the following treatment sites: brain, head and neck, breast, lung, prostate and cervix. While not yet routine, the use of apparent diffusion coefficient (ADC) map analysis indicates an exciting future application for functional MRI. Although DW-MRI has not yet been routinely used in boost adaptive techniques, it is being assessed in cohort studies for sub-volume boosting in prostate tumors.
Estimation of the optimal brachytherapy utilization rate in the treatment of carcinoma of the uterine cervix: review of clinical practice guidelines and primary evidence.
Publisher: Wiley
Date: 2006
DOI: 10.1002/CNCR.22337
Hospital policies on complementary medicine: a cross-sectional survey of Australian cancer services.
Publisher: AMPCo
Date: 12-08-2020
DOI: 10.5694/MJA2.50731
Using text-spotting to query the world
Publisher: IEEE
Date: 10-2010
Special Issue on Visual Servoing
Publisher: Elsevier BV
Date: 06-2012
secFleck: A Public Key Technology Platform for Wireless Sensor Networks
Publisher: Springer Berlin Heidelberg
Date: 2009
A probabilistic challenge for object detection
Publisher: Springer Science and Business Media LLC
Date: 11-09-2019
Underutilization of radiotherapy for lung cancer in New South Wales, Australia
Publisher: Wiley
Date: 02-12-2010
DOI: 10.1002/CNCR.24762
Abstract: Lung cancer is the leading cause of cancer death in most developed countries. Radiotherapy is important in its treatment, with an estimated optimal utilization rate between 45% and 68% at initial diagnosis. The objective of this study was to describe radiotherapy practice for lung cancer in New South Wales (NSW), Australia. Patients with lung cancer were identified prospectively from the NSW Central Cancer Registry (CCR) from November 1, 2001 to December 31, 2002. Questionnaires were mailed to diagnosing and treating clinicians to obtain detailed information on diagnosis, staging, referrals, and treatment. The authors describe referral for and receipt of radiotherapy treatment. Of 1812 patients with lung cancer patients who were identified, 943 patients (52%) were referred for radiotherapy, 846 patients (47%) received a radiotherapy questionnaire, and 727 patients (40%) received radiotherapy. Compared with optimal radiotherapy, there was less curative radiotherapy to the primary site (20% actual vs 50% optimal), and there was more palliative radiotherapy to metastatic sites (36% actual vs 11% optimal). The greatest shortfall in radiotherapy use was observed in patients who had limited stage small cell lung cancer (46% actual vs 94% optimal). The use of combined-modality treatment for stage III nonsmall cell lung cancer and for limited stage small cell lung cancer was uncommon. There is underutilization of radiotherapy for lung cancer in NSW, especially in small cell lung cancer. The use of combined-modality treatment for potentially curable lung cancers is suboptimal. These issues have to be addressed to improve survival and quality of life for patients with lung cancer.
Dealing with shadows: Capturing intrinsic scene appearance for image-based outdoor localisation
Publisher: IEEE
Date: 11-2013
Inspection of Pole-Like Structures Using a Visual-Inertial Aided VTOL Platform with Shared Autonomy
Publisher: MDPI AG
Date: 02-09-2015
DOI: 10.3390/S150922003
Development of Health Pathways to Standardize Cancer Care Pathways Informed by Patient-Reported Outcomes and Clinical Practice Guidelines.
Publisher: American Society of Clinical Oncology (ASCO)
Date: 12-2018
DOI: 10.1200/CCI.18.00024
Abstract: High-quality symptom management and supportive care are essential components of comprehensive cancer care. We aimed to describe the development of an evidence-based automated decisional algorithm for patients with cancer that had specific, actionable, clinical, evidence-based recommendations to improve patient care, communication, and management. We reviewed existing literature and clinical practice guidelines to identify priority domains of patient care and potential clinical recommendations. Two multidisciplinary clinical advisory groups used a two-stage consensus decision-making approach to determine domains of care and patient-reported outcome (PRO) measures and subsequently developed automated algorithms with clear clinical recommendations amendable to intervention in clinical settings. Algorithms were developed to inform management of patient symptoms, distress, and unmet needs. Three PRO measures were chosen: Distress Thermometer and problem checklist, Edmonton Symptom Assessment Scale, and the Supportive Care Needs Survey–Screening Tool 9. PRO items were mapped to five domains of patient well-being: physical, emotional, practical, social and family, and maintenance of well-being. A total of 15 actionable clinical recommendations tailored to specific issues of concern were established. Using automated algorithms and clinical recommendations provides a platform for streamlining and systematizing the use of PROs to inform risk-stratified guideline-informed care. The series of algorithms, which set out systematized care pathways for the clinical care of patients with cancer, can be used to potentially inform patient-centered care.
Variation in the use of radiotherapy fractionation for breast cancer: Survival outcome and cost implications.
Publisher: Elsevier BV
Date: 11-2020
News from the Front [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2011
High-fidelity simulation for evaluating robotic vision performance
Publisher: IEEE
Date: 10-2016
Experimental evaluation of position control methods for hydraulic systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2002
Robust pose estimation for a car-like vehicle
Publisher: IEEE
Date: 2004
Estimation of an optimal chemotherapy utilisation rate for colon cancer: an evidence-based benchmark for cancer care.
Publisher: Elsevier BV
Date: 09-2009
Cartman: The low-cost Cartesian manipulator that won the Amazon Robotics Challenge
Publisher: IEEE
Date: 05-2018
The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research
Publisher: IEEE
Date: 05-2017
Outdoor Flight Testing of a Pole Inspection UAV Incorporating High-speed Vision
Publisher: Springer International Publishing
Date: 2015
International comparison of cosmetic outcomes of breast conserving surgery and radiation therapy for women with ductal carcinoma in situ of the breast.
Publisher: Elsevier BV
Date: 2019
Combined optic-flow and stereo-based navigation of urban canyons for a UAV
Publisher: IEEE
Date: 2005
A robotics toolbox for MATLAB
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-1996
DOI: 10.1109/100.486658
Episode-Based Active Learning with Bayesian Neural Networks
Publisher: IEEE
Date: 07-2017
Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination
Publisher: IEEE
Date: 07-2017
Patterns of retreatment by radiotherapy.
Publisher: Elsevier BV
Date: 10-2014
Monocular vision based autonomous navigation for a cost-effective MAV in GPS-denied environments
Publisher: IEEE
Date: 07-2013
Long-term exploration & tours for energy constrained robots with online proprioceptive traversability estimation
Publisher: IEEE
Date: 05-2014
Subclinical cardiac dysfunction detected by strain imaging during breast irradiation with persistent changes 6 weeks after treatment.
Publisher: Elsevier BV
Date: 06-2015
Outcomes of Ethnic Minority Groups with Node-Positive, Non-Metastatic Breast Cancer in Two Tertiary Referral Canters in Sydney, Australia
Publisher: Public Library of Science (PLoS)
Date: 21-04-2014
Table of contents
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2011
New Look for IEEE Robotics & Automation Magazine [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2011
Do variations in hospital mortality patterns after weekend admission reflect reduced quality of care or different patient cohorts? A population-based study.
Publisher: BMJ
Date: 25-10-2014
Simultaneous localization and planning on multiple map hypotheses
Publisher: IEEE
Date: 09-2014
Experiments with Cooperative Control of Underwater Robots
Publisher: SAGE Publications
Date: 20-05-2009
Abstract: In this paper we describe cooperative control algorithms for robots and sensor nodes in an underwater environment. Cooperative navigation is defined as the ability of a coupled system of autonomous robots to pool their resources to achieve long-distance navigation and a larger controllability space. Other types of useful cooperation in underwater environments include: exchange of information such as data download and retasking cooperative localization and tracking and physical connection (docking) for tasks such as deployment of underwater sensor networks, collection of nodes and rescue of damaged robots. We present experimental results obtained with an underwater system that consists of two very different robots and a number of sensor network modules. We present the hardware and software architecture of this underwater system. We then describe various interactions between the robots and sensor nodes and between the two robots, including cooperative navigation. Finally, we describe our experiments with this underwater system and present data.
Editorial: Multimedia Editors’ Introduction
Publisher: SAGE Publications
Date: 07-2001
Image Processing
Publisher: Springer Berlin Heidelberg
Date: 2011
Image Feature Extraction
Publisher: Springer Berlin Heidelberg
Date: 2011
Estimating the optimal radiotherapy utilization for carcinoma of the central nervous system, thyroid carcinoma, and carcinoma of unknown primary origin from evidence-based clinical guidelines.
Publisher: Wiley
Date: 14-12-2006
DOI: 10.1002/CNCR.21596
Light and Color
Publisher: Springer Berlin Heidelberg
Date: 2011
Image Formation
Publisher: Springer Berlin Heidelberg
Date: 2011
Advanced Visual Servoing
Publisher: Springer Berlin Heidelberg
Date: 2011
Using Multiple Images
Publisher: Springer Berlin Heidelberg
Date: 2011
Vision-Based Control
Publisher: Springer Berlin Heidelberg
Date: 2011
A Standard Set of Value-Based Patient-Centered Outcomes for Breast Cancer
Publisher: American Medical Association (AMA)
Date: 05-2017
DOI: 10.1001/JAMAONCOL.2016.4851
Abstract: A major challenge in value-based health care is the lack of standardized health outcomes measurements, hindering optimal monitoring and comparison of the quality of health care across different settings globally. The International Consortium for Health Outcomes Measurement (ICHOM) assembled a multidisciplinary international working group, comprised of 26 health care providers and patient advocates, to develop a standard set of value-based patient-centered outcomes for breast cancer (BC). The working group convened via 8 teleconferences and completed a follow-up survey after each meeting. A modified 2-round Delphi method was used to achieve consensus on the outcomes and case-mix variables to be included. Patient focus group meetings (8 early or metastatic BC patients) and online anonymized surveys of 1225 multinational BC patients and survivors were also conducted to obtain patients' input. The standard set encompasses survival and cancer control, and disutility of care (eg, acute treatment complications) outcomes, to be collected through administrative data and/or clinical records. A combination of multiple patient-reported outcomes measurement (PROM) tools is recommended to capture long-term degree of health outcomes. Selected case-mix factors were recommended to be collected at baseline. The ICHOM will endeavor to achieve wide buy-in of this set and facilitate its implementation in routine clinical practice in various settings and institutions worldwide.
Robotics as a Career [Turning Point]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2011
Magnetic resonance imaging (MRI) guided proton therapy: A review of the clinical challenges, potential benefits and pathway to implementation.
Publisher: Elsevier BV
Date: 05-2022
Segmental Cardiac Radiation Dose Determines Magnitude of Regional Cardiac Dysfunction
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 06-04-2021
Abstract: Subclinical left ventricular dysfunction detected by 2‐dimensional global longitudinal strain post breast radiotherapy has been described in patients with breast cancer. We hypothesized that left ventricular dysfunction postradiotherapy may be site specific, based on differential segmental radiotherapy dose received. Transthoracic echocardiograms were performed at baseline, 6 weeks, and 12 months postradiotherapy on 61 chemotherapy‐naïve women with left‐sided breast cancer undergoing tangential breast radiotherapy. Radiation received within basal, mid, and apical regions for the 6 left ventricular walls was quantified from the radiotherapy treatment planning system. Anterior, anteroseptal, and anterolateral walls received the highest radiation doses, while inferolateral and inferior walls received the lowest. There was a progressive increase in the radiation dose received from basal to apical regions. At 6 weeks, the most significant percentage deterioration in strain was seen in the apical region, with greatest reductions in the anterior wall followed by the anteroseptal and anterolateral walls, with a similar pattern persisting at 12 months. There was a within‐patient dose–response association between the segment‐specific percentage deterioration in strain at 6 weeks and 12 months and the radiation dose received. Radiotherapy for left‐sided breast cancer causes differential segmental dysfunction, with myocardial segments that receive the highest radiation dose demonstrating greatest strain impairment. Percentage deterioration in strain observed 6 weeks postradiotherapy persisted at 12 months and demonstrated a dose–response relationship with radiotherapy dose received. Radiotherapy‐induced subclinical cardiac dysfunction is of importance because it could be additive to chemotherapy‐related cardiotoxicity in patients with breast cancer. Long‐term outcomes in patients with asymptomatic strain reduction require further investigation.
Automation of an underground mining vehicle using reactive navigation and opportunistic localization
Publisher: IEEE
Estimation of an optimal utilisation rate for palliative radiotherapy in newly diagnosed cancer patients.
Publisher: Elsevier BV
Date: 02-2010
Model Identification for Dragline Swing Assist Control Design
Publisher: Elsevier BV
Date: 2009
Adaptive GPS duty cycling and radio ranging for energy-efficient localization
Publisher: ACM
Date: 03-11-2010
Vision-only autonomous navigation using topometric maps
Publisher: IEEE
Date: 11-2013
Image model behaviour in multiresolution
Publisher: IEE
Date: 1999
DOI: 10.1049/CP:19990442
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review
Publisher: Association for Computing Machinery (ACM)
Date: 16-02-2202
DOI: 10.1145/3570731
Abstract: Robotic vision, otherwise known as computer vision for robots, is a critical process for robots to collect and interpret detailed information related to human actions, goals, and preferences, enabling robots to provide more useful services to people. This survey and systematic review presents a comprehensive analysis on robotic vision in human-robot interaction and collaboration (HRI/C) over the past 10 years. From a detailed search of 3,850 articles, systematic extraction and evaluation was used to identify and explore 310 papers in depth. These papers described robots with some level of autonomy using robotic vision for locomotion, manipulation, and/or visual communication to collaborate or interact with people. This article provides an in-depth analysis of current trends, common domains, methods and procedures, technical processes, datasets and models, experimental testing, s le populations, performance metrics, and future challenges. Robotic vision was often used in action and gesture recognition, robot movement in human spaces, object handover and collaborative actions, social communication, and learning from demonstration. Few high-impact and novel techniques from the computer vision field had been translated into HRI/C. Overall, notable advancements have been made on how to develop and deploy robots to assist people.
System Identification and Control of an Aerobot Drive System
Publisher: IEEE
Date: 02-2007
Rotorcraft collision avoidance using spherical image-based visual servoing and single point features
Publisher: IEEE
Date: 10-2012
A pilot randomised comparison of dexamethasone 96 mg vs 16 mg per day for malignant spinal-cord compression treated by radiotherapy: TROG 01.05 Superdex study.
Publisher: Elsevier BV
Date: 02-2006
Variations in breast cancer histology and treatment patterns between the major ethnic groups of South West Sydney.
Publisher: Hindawi Limited
Date: 19-12-2017
DOI: 10.1111/TBJ.12973
Combining Cartesian and polar coordinates in IBVS
Publisher: IEEE
Date: 10-2009
Assisted control for semi-autonomous power infrastructure inspection using aerial vehicles
Publisher: IEEE
Date: 10-2018
Environmental Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2010
Image-Based Visual Servoing With Light Field Cameras
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2017
Air Vehicle Simulator: an Application for a Cable Array Robot
Publisher: IEEE
Date: 2005
The population benefit of radiotherapy for cervical cancer: local control and survival estimates for optimally utilized radiotherapy and chemoradiation.
Publisher: Elsevier BV
Date: 03-2015
A framework for marine sensor network & autonomous vehicle interaction
Publisher: IEEE
Date: 05-2010
Dynamic effects in visual closed-loop systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1996
DOI: 10.1109/70.538973
A tutorial on visual servo control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1996
DOI: 10.1109/70.538972
Open Access [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2012
Tracking road edges in the panospheric image plane
Publisher: IEEE
Lower trial participation by culturally and linguistically diverse (CALD) cancer patients is largely due to language barriers.
Publisher: Wiley
Date: 30-10-2017
DOI: 10.1111/AJCO.12818
Online novelty-based visual obstacle detection for field robotics
Publisher: IEEE
Date: 05-2015
Krill: An Exploration in Underwater Sensor Networks
Publisher: IEEE
Date: 2005
Comparison of setup accuracy of three different image assessment methods for tangential breast radiotherapy.
Publisher: Wiley
Date: 31-05-2016
DOI: 10.1002/JMRS.180
An Optimising Compiler for Generated Tiny Virtual Machines
Publisher: IEEE
Date: 2005
Learning robust, real-time, reactive robotic grasping
Publisher: SAGE Publications
Date: 26-06-2019
Abstract: We present a novel approach to perform object-independent grasp synthesis from depth images via deep neural networks. Our generative grasping convolutional neural network (GG-CNN) predicts a pixel-wise grasp quality that can be deployed in closed-loop grasping scenarios. GG-CNN overcomes shortcomings in existing techniques, namely discrete s ling of grasp candidates and long computation times. The network is orders of magnitude smaller than other state-of-the-art approaches while achieving better performance, particularly in clutter. We run a suite of real-world tests, during which we achieve an 84% grasp success rate on a set of previously unseen objects with adversarial geometry and 94% on household items. The lightweight nature enables closed-loop control of up to 50 Hz, with which we observed 88% grasp success on a set of household objects that are moved during the grasp attempt. We further propose a method combining our GG-CNN with a multi-view approach, which improves overall grasp success rate in clutter by 10%. Code is provided at ougsm/ggcnn
A Novel Model of Interaction Dynamics between Legged Robots and Deformable Terrain
Publisher: IEEE
Date: 23-05-2022
Web-Based Patient-Reported Outcome Measures for Personalized Treatment and Care (PROMPT-Care): Multicenter Pragmatic Nonrandomized Trial
Publisher: JMIR Publications Inc.
Date: 29-10-2020
DOI: 10.2196/19685
Abstract: Despite the acceptability and efficacy of e–patient-reported outcome (ePRO) systems, implementation in routine clinical care remains challenging. This pragmatic trial implemented the PROMPT-Care (Patient Reported Outcome Measures for Personalized Treatment and Care) web-based system into existing clinical workflows and evaluated its effectiveness among a erse population of patients with cancer. Adult patients with solid tumors receiving active treatment or follow-up care in four cancer centers were enrolled. The PROMPT-Care intervention supported patient management through (1) monthly off-site electronic PRO physical symptom and psychosocial well-being assessments, (2) automated electronic clinical alerts notifying the care team of unresolved clinical issues following two consecutive assessments, and (3) tailored online patient self-management resources. Propensity score matching was used to match controls with intervention patients in a 4:1 ratio for patient age, sex, and treatment status. The primary outcome was a reduction in emergency department presentations. Secondary outcomes were time spent on chemotherapy and the number of allied health service referrals. From April 2016 to October 2018, 328 patients from four public hospitals received the intervention. Matched controls (n=1312) comprised the general population of patients with cancer, seen at the participating hospitals during the study period. Emergency department visits were significantly reduced by 33% (P=.02) among patients receiving the intervention compared with patients in the matched controls. No significant associations were found in allied health referrals or time to end of chemotherapy. At baseline, the most common patient reported outcomes (above-threshold) were fatigue (39%), tiredness (38.4%), worry (32.9%), general wellbeing (32.9%), and sleep (24.1%), aligning with the most frequently accessed self-management domain pages of physical well-being (36%) and emotional well-being (23%). The majority of clinical feedback reports were reviewed by nursing staff (729/893, 82%), largely in response to the automated clinical alerts (n=877). Algorithm-supported web-based systems utilizing patient reported outcomes in clinical practice reduced emergency department presentations among a erse population of patients with cancer. This study also highlighted the importance of (1) automated triggers for reviewing above-threshold results in patient reports, rather than passive manual review of patient records (2) the instrumental role nurses play in managing alerts and (3) providing patients with resources to support guided self-management, where appropriate. Together, these factors will inform the integration of web-based PRO systems into future models of routine cancer care. Australian New Zealand Clinical Trials Registry ACTRN12616000615482 www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=370633 RR2-10.1186/s12885-018-4729-3
Two Seconds to Touchdown - Vision-Based Controlled Forced Landing
Publisher: IEEE
Date: 10-2006
Calculation of dragline bucket pose under gravity loading
Publisher: Elsevier BV
Date: 10-2000
Factors affecting radiotherapy utilisation in geriatric oncology patients in NSW, Australia
Publisher: Elsevier BV
Date: 12-2020
Clinicians' attitudes and perceived barriers and facilitators to cancer treatment clinical practice guideline adherence: A systematic review of qualitative and quantitative literature
Publisher: Springer Science and Business Media LLC
Date: 27-05-2020
DOI: 10.1186/S13012-020-00991-3
Abstract: Clinical Practice Guidelines (CPGs) synthesize the best available evidence to guide clinician and patient decision making. There are a multitude of barriers and facilitators to clinicians adhering to CPGs however, little is known about active cancer treatment CPG adherence specifically. This systematic review sought to identify clinician attitudes, and perceived barriers and facilitators to active cancer treatment CPG adherence. A systematic search was undertaken of five databases Ovid Medline, PsychInfo, Embase, Scopus, CINAHL, and PROQUEST. The retrieved abstracts were screened for eligibility against inclusion criteria, and a full text review was conducted of all eligible studies. Data were extracted, and a quality assessment was conducted of all included studies. The qualitative papers were thematically analyzed. Attitudes, barriers, and facilitating factors extracted from the quantitative papers were categorized within the qualitative thematic framework. The search resulted in the identification of 9676 titles. After duplicates were removed, abstracts screened, and full texts reviewed, 15 studies were included. Four themes were identified which related to negative clinician attitudes and barriers to active cancer treatment CPG adherence: (1) concern over CPG content and currency of CPGs (2) concern about the evidence underpinning CPGs (3) clinician uncertainty and negative perceptions of CPGs and (4) organizational and patient factors. The review also identified four themes related to positive attitudes and facilitators to active cancer treatment CPG adherence: (5) CPG accessibility and ease of use (6) endorsement and dissemination of CPGs and adequate access to treatment facilities and resources (7) awareness of CPGs and belief in their relevance and (8) belief that CPGs support decision making, improve patient care, reduce clinical variation, and reduce costs. These results highlight that adherence to active cancer treatment CPG recommendations by oncology clinicians is influenced by multiple factors such as attitudes, practices, and access to resources. The review has also revealed many similarities and differences in the factors associated with general CPG, and active cancer treatment CPG, adherence. These findings will inform tailored implementation strategies to increase adherence to cancer treatment CPGs. PROSPERO (2019) CRD42019125748 .
Autonomous control of underground mining vehicles using reactive navigation
Publisher: IEEE
Date: 2000
Modelling and control of a large quadrotor robot
Publisher: Elsevier BV
Date: 07-2010
Choosing landmarks for risky planning
Publisher: IEEE
Date: 11-2011
Development of an age- and comorbidity adjusted- optimal radiotherapy utilisation rate for women with breast cancer.
Publisher: Elsevier BV
Date: 07-2022
Radiotherapy underutilisation and its impact on local control and survival in New South Wales, Australia.
Publisher: Elsevier BV
Date: 12-2019
A novel approach to haptic tele-operation of aerial robot vehicles
Publisher: IEEE
Date: 05-2010
ICRA 2018 Program Chair Report
Publisher: IEEE
Date: 05-2018
The Effect of Noise on Camera Calibration Parameters
Publisher: Elsevier BV
Date: 09-2001
Non-parametric techniques for fast and robust stereo matching
Publisher: IEEE
Date: 1997
Special issue on agricultural robotics
Publisher: Wiley
Date: 13-12-2019
DOI: 10.1002/ROB.21926
Intercontinental haptic teleoperation of a flying vehicle: A step towards real-time applications
Publisher: IEEE
Date: 11-2013
Field and Service Robotics
Publisher: Springer Berlin Heidelberg
Date: 2006
Inspection of pole-like structures using a vision-controlled VTOL UAV and shared autonomy
Publisher: IEEE
Date: 09-2014
ArthroSLAM: Multi-Sensor Robust Visual Localization for Minimally Invasive Orthopedic Surgery
Publisher: IEEE
Date: 10-2018
A Hybrid AUV Design for Shallow Water Reef Navigation
Publisher: IEEE
Date: 2005
A Holistic Approach to Reactive Mobile Manipulation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Cancer,chronic conditions and social disadvantage: The perfect storm
Publisher: Springer Singapore
Date: 2016
A distributed robotic vision service
Publisher: IEEE
Date: 05-2016
Virtual fences for controlling cows
Publisher: IEEE
Date: 2004
Experiments in autonomous underground guidance
Publisher: IEEE
The impact of cancer and chronic conditions on caregivers and family members
Publisher: Springer Singapore
Date: 2016
Outdoor Localization Using Wide-Angle Visual Feature Matching and Image Retrieval
Publisher: Springer Berlin Heidelberg
Date: 2010
Model-based control of hydraulically actuated manipulators
Publisher: IEEE
Date: 2001
Rapid learning in practice: a lung cancer survival decision support system in routine patient care data.
Publisher: Elsevier BV
Date: 10-2014
Study protocol for a controlled trial of an eHealth system utilising patient reported outcome measures for personalised treatment and care: PROMPT-Care 2.0.
Publisher: Springer Science and Business Media LLC
Date: 23-08-2018
Validation of a new open-source method for automatic delineation and dose assessment of the heart and LADCA in breast radiotherapy with simultaneous uncertainty estimation.
Publisher: IOP Publishing
Date: 25-01-2021
Abstract: Radiotherapy has been shown to increase risks of cardiotoxicities for breast cancer patients. Automated delineation approaches are necessary for consistent and efficient assessment of cardiac doses in large, retrospective datasets, while patient-specific estimation of the uncertainty in these doses provides valuable additional data for modelling and understanding risks. In this work, we aim to validate the consistency of our previously described open-source software model for automatic cardiac delineation in the context of dose assessment, relative to manual contouring. We also extend our software to introduce a novel method to automatically quantify the uncertainty in cardiac doses based on expected inter-observer variability (IOV) in contouring. This method was applied to a cohort of 15 left-sided breast cancer patients treated in Denmark using modern tangential radiotherapy techniques. On each image set, the whole heart and left anterior descending coronary artery (LADCA) were contoured by nine independent experts the range of doses to these nine volumes provided a reference for the dose uncertainties generated from the automatic method. Local and external atlas sets were used to test the method. Results give confidence in the consistency of automatic segmentations, with mean whole heart dose differences for local and external atlas sets of −0.20 ± 0.17 and −0.10 ± 0.14 Gy, respectively. Automatic estimates of uncertainties in doses are similar to those from IOV for both the whole heart and LADCA. Overall, this study confirms that our automated approach can be used to accurately assess cardiac doses, and the proposed method can provide a useful tool in estimating dose uncertainties.
Partitioned Image-Based Visual Servo Control: Some New Results
Publisher: Springer Berlin Heidelberg
Date: 2002
Imaging dose in breast radiotherapy: does breast size affect the dose to the organs at risk and the risk of secondary cancer to the contralateral breast?
Publisher: Wiley
Date: 07-01-2015
DOI: 10.1002/JMRS.91
Force Controlled Robotic Surface Finishing with Variable Tool Centre Point (TCP)
Publisher: IEEE
Date: 26-08-2023
Model-free vision-based shaping of deformable plastic materials
Publisher: SAGE Publications
Date: 25-02-2020
Abstract: We address the problem of shaping deformable plastic materials using non-prehensile actions. Shaping plastic objects is challenging, because they are difficult to model and to track visually. We study this problem, by using kinetic sand, a plastic toy material that mimics the physical properties of wet sand. Inspired by a pilot study where humans shape kinetic sand, we define two types of actions: pushing the material from the sides and tapping from above. The chosen actions are executed with a robotic arm using image-based visual servoing. From the current and desired view of the material, we define states based on visual features such as the outer contour shape and the pixel luminosity values. These are mapped to actions, which are repeated iteratively to reduce the image error until convergence is reached. For pushing, we propose three methods for mapping the visual state to an action. These include heuristic methods and a neural network, trained from human actions. We show that it is possible to obtain simple shapes with the kinetic sand, without explicitly modeling the material. Our approach is limited in the types of shapes it can achieve. A richer set of action types and multi-step reasoning is needed to achieve more sophisticated shapes.
Designing Cartman: A Cartesian Manipulator for the Amazon Robotics Challenge 2017
Publisher: Springer International Publishing
Date: 2020
JFR special issue on agricultural robotics, part 2
Publisher: Wiley
Date: 06-02-2020
DOI: 10.1002/ROB.21939
Outdoor Sensornet Design and Deployment: Experiences from a Sugar Farm
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2012
DOI: 10.1109/MPRV.2010.70
A Simple and Systematic Approach to Assigning Denavit–Hartenberg Parameters
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2007
Understanding URDF: A Survey Based on User Experience
Publisher: IEEE
Date: 26-08-2023
The use of categorized time-trend reporting of radiation oncology incidents: a proactive analytical approach to improving quality and safety over time.
Publisher: Elsevier BV
Date: 12-2010
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Ten-year Mortality, Disease Progression, and Treatment-related Side Effects in Men with Localised Prostate Cancer from the ProtecT Randomised Controlled Trial According to Treatment Received.
Publisher: Elsevier BV
Date: 03-2019
Creating and using probabilistic costmaps from vehicle experience
Publisher: IEEE
Date: 10-2012
Variations in breast cancer histology and treatment patterns between the major ethnic groups of South West Sydney.
Publisher: Hindawi Limited
Date: 19-12-2017
DOI: 10.1111/TBJ.12973
A comparison of surgical and radiotherapy breast cancer therapy utilization in Canada (British Columbia), Scotland (Dundee), and Australia (Western Australia) with models of optimal therapy.
Publisher: Elsevier BV
Date: 08-2012
Demonstration of image compression in a low-bandwidth wireless camera network
Publisher: ACM Press
Date: 2007
Local inter-session variability modelling for object classification
Publisher: IEEE
Date: 03-2014
Scale invariant feature matching with wide angle images
Publisher: IEEE
Date: 10-2007
Low-cost flight control system for a small autonomous helicopter
Publisher: IEEE
An Innovative Educational Change: Massive Open Online Courses in Robotics and Robotic Vision
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2016
Fleck - A platform for real-world outdoor sensor networks
Publisher: IEEE
Date: 2007
Providing outpatient cancer care for CALD patients: a qualitative study.
Publisher: Springer Science and Business Media LLC
Date: 09-08-2021
DOI: 10.1186/S13104-021-05724-3
Abstract: There have been few descriptions of how outpatient cancer care is provided to patients from culturally and linguistically erse (CALD) communities. As populations who experience disparities in cancer care access and outcomes, deeper understanding is needed to help identify those factors which can shape the receipt of multidisciplinary care in ambulatory settings. This paper reports on data collected and analysed as part of a multicentre characterisation of care in Australian public hospital cancer outpatient clinics (OPCs). Analysis of data from our ethnographic study of four OPCs identified three themes: “Identifying CALD patient language-related needs” “Capacity and resources to meet CALD patient needs”, and “Making it work for CALD communities.” The care team comprises not only clinicians but also families and non-clinical staff OPCs serve as “touchpoints” facilitating access to a range of therapeutic services. The findings highlight the potential challenges oncology professionals negotiate in providing care to CALD communities and the ways in which clinicians adapt their practices, formulate strategies and use available resources to support care delivery.
Field and service applications - Dragline automation- A dedade of development - Shared Autonomy for Improving Mining Equipment Productivity
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2007
Coordinating Aerial Robots and Sensor Networks for Localization and Navigation
Publisher: Springer Japan
Establishing treatment benchmarks for mammography-screened breast cancer population based on a review of evidence-based clinical guidelines.
Publisher: Wiley
Date: 21-04-2008
DOI: 10.1002/CNCR.23384
The Grasp Strategy of a Robot Passer Influences Performance and Quality of the Robot-Human Object Handover
Publisher: Frontiers Media SA
Date: 19-10-2020
Reactive navigation and opportunistic localization for autonomous underground mining vehicles
Publisher: Elsevier BV
Date: 08-2002
Place categorization and semantic mapping on a mobile robot
Publisher: IEEE
Date: 05-2016
Three-Dimensional Imaging for a Very Large Excavator
Publisher: SAGE Publications
Date: 07-2003
DOI: 10.1177/02783649030227003
Abstract: In this paper we describe the development of a three-dimensional (3D) imaging system for a 3500 tonne mining machine (dragline).Draglines are large walking cranes used for removing the dirt that covers a coal seam. Our group has been developing a dragline swing automation system since 1994. The system so far has been `blind' to its external environment. The work presented in this paper attempts to give the dragline an ability to sense its surroundings. A 3D digital terrain map (DTM) is created from data obtained from a two-dimensional laser scanner while the dragline swings. Experimental data from an operational dragline are presented.
Integrative oncology and complementary medicine cancer services in Australia: findings from a national cross-sectional survey
Publisher: Springer Science and Business Media LLC
Date: 29-10-2018
DGBench: An Open-Source, Reproducible Benchmark for Dynamic Grasping
Publisher: IEEE
Date: 23-10-2022
Estimation of an optimal chemotherapy utilisation rate for upper gastrointestinal cancers: setting an evidence-based benchmark for the best-quality cancer care.
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/753480
Abstract: Aims . The proportion of patients with upper gastrointestinal cancers that received chemotherapy varies widely in Australia and internationally, indicating a need for a benchmark rate of chemotherapy utilisation. We developed evidence-based models for upper gastrointestinal cancers to estimate the optimal chemotherapy utilisation rates that can serve as useful benchmarks for measuring and improving the quality of care. Materials and Methods . Optimal chemotherapy utilisation models for cancers of the oesophagus, stomach, pancreas, gallbladder, and primary liver were constructed using indications for chemotherapy identified from evidence-based guidelines. Results . Based on the best available evidence, the optimal proportion of upper gastrointestinal cancers that should receive chemotherapy at least once during the course of the patients’ illness was estimated to be 79% for oesophageal cancer, 83% for gastric cancer, 35% for pancreatic cancer, 80% for gallbladder cancer, and 27% for primary liver cancer. Conclusions . The reported chemotherapy utilisation rates for upper gastrointestinal cancers (with the exception of primary liver cancer) appear to be substantially lower than the estimated optimal rates suggesting that chemotherapy may be underutilised. Further studies to elucidate the reasons for the potential underutilisation of chemotherapy in upper gastrointestinal tumours are required to bridge the gap between the ideal and actual practice identified.
In the rough: in-field evaluation of an autonomous vehicle for golf course maintenance
Publisher: IEEE
A Discussion with Roland Siegwart [Turning Point
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2010
Real-time Image Streaming over a Low-Bandwidth Wireless Camera Network
Publisher: IEEE
Date: 2007
MATLAB toolboxes: robotics and vision for students and teachers
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2007
What Makes Our Magazine Different? [From the Editor's Desk
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2010
Integrating ROS and MATLAB [ROS Topics]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2015
A decade of investment in radiotherapy in New South Wales: why does the gap between optimal and actual persist?
Publisher: Wiley
Date: 08-2011
A Double-Filter Provision for Expanded Red Flag Laws: A Proposal for Balancing Rights and Risks in Preventing Gun Violence.
Publisher: Cambridge University Press (CUP)
Date: 2020
Abstract: In response to the continued expansion of “red flag” laws allowing broader classes of people to petition a court for the removal of firearms from in iduals who exhibit dangerous conduct, this paper argues that state laws should adopt a double-filter provision that balances in idual rights and government public safety interests. The main component of such a provision is a special statutory category — “reporting party” — that enables a broader social network, such as co-workers or school administrators, to request that a law enforcement officer file a petition for an Extreme Risk Protection Order (ERPO). A double-filter provision would not give reporting parties a right to file a court petition directly. Instead, parties would file a request for petition with law enforcement officers (first filter), who must seek an ERPO from the court if they find the reporting party's information credible. That information is then transmitted to the court (second filter) as a sworn affidavit of the reporting party. The goal is to facilitate a balanced policy model that (1) widens the reporting circle in order to feed more potentially life-saving information into the system, (2) mitigates the risk of erroneous deprivation of constitutionally protected due process and Second Amendment rights.
Semantics for Robotic Mapping, Perception and Interaction
Publisher: Now Publishers
Date: 2020
DOI: 10.1561/2300000059
Experiments and experiences in developing a large robot mining system
Publisher: Springer London
DOI: 10.1007/BFB0119397
Data muling over underwater wireless sensor networks using an autonomous underwater vehicle
Publisher: IEEE
Date: 2006
Localization and Navigation Assisted by Networked Cooperating Sensors and Robots
Publisher: SAGE Publications
Date: 09-2005
Abstract: In this paper we discuss how a network of sensors and robots can cooperate to solve important robotics problems such as localization and navigation. We use a robot to localize sensor nodes, and we then use these localized nodes to navigate robots and humans through the sensorized space. We explore these novel ideas with results from two large-scale sensor network and robot experiments involving 50 motes, two types of flying robot: an autonomous helicopter and a large indoor cable array robot, and a human-network interface. We present the distributed algorithms for localization, geographic routing, path definition and incremental navigation. We also describe how a human can be guided using a simple hand-held device that interfaces to this same environmental infrastructure.
Networked Robots: Flying Robot Navigation Using a Sensor Net
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11008941_25
3D Perception for Mining Robotics
Publisher: Springer London
Date: 1998
Energy-efficient localization for virtual fencing
Publisher: ACM
Date: 12-04-2010
Experiments with Cooperative Networked Control of Underwater Robots
Publisher: Springer Berlin Heidelberg
Date: 2008
Safety and efficacy of progressive resistance training in breast cancer: a systematic review and meta-analysis.
Publisher: Springer Science and Business Media LLC
Date: 17-10-2014
Image processing algorithms for UAV sense and avoid
Publisher: IEEE
Date: 2006
Chemotherapy in rectal cancer: variation in utilization and development of an evidence-based benchmark rate of optimal chemotherapy utilization.
Publisher: Elsevier BV
Date: 06-2011
Quantification of Cardiac Subvolume Dosimetry in Breast Cancer Patients Receiving Tangential Beam Radiation Therapy
Publisher: Elsevier BV
Date: 10-2017
Adapting an integrated care pathway for implementing electronic patient reported outcomes assessment in routine oncology care: Lessons learned from a case study.
Publisher: Wiley
Date: 25-04-2022
DOI: 10.1111/JEP.13688
Abstract: Details of the development and implementation of integrated care pathways (ICPs) in the context of electronic collection of patient reported outcomes (ePROs) for cancer patients are largely lacking in the literature. This study describes what, why and how decisions were made to adapt and implement an ePROs ICP for patients with lung cancer. A consensus process was utilized, with the implementation advisory group including multidisciplinary representation from three participating hospitals, to identify local ch ions and adapt and incorporate the ePRO ICP into the local contexts. Engagement meetings were documented via meeting transcripts, and detailed notes from October 2019 to November 2020 were content‐analysed to identify decision‐making themes based on the Consolidated Framework for Implementation Research workflows and process maps were reviewed and modified to integrate ePROs. In total, 55 engagement activities were held (24 meetings, 20 workshops 11 educational sessions), with n = 96 staff from multiple disciplines participating in the ePROs implementation through advisory meetings, process mapping, change management and staff education. Decisions were made regarding eligible patient cohorts to include, the process for onboarding patients onto the ePRO system, and follow‐up and referral pathways. Rationales for decisions included alignment with existing workflows, utilizing available staff, minimizing staff and patient burden and maximizing patient engagement. Existing resources, staff input and technical and logistical reasons often guided the ICP decisions, highlighting the need for in‐depth engagement across all stakeholders for optimal implementation of ePRO ICPs. The ePRO implementation required substantial dialogue and systematic resolution to reach agreement on the final processes. Adapting the local ICP through rigorous engagement facilitated the successful implementation of ePROs as business‐as‐usual at all three cancer centres. Involving all relevant stakeholders is critical to the successful adaptation of ICPs before their introduction into routine care.
Optimal uptake rates for initial treatments for cervical cancer in concordance with guidelines in Australia and Canada: Results from two large cancer facilities.
Publisher: Elsevier BV
Date: 08-2015
Experiments in high-performance robotic visual servoing
Publisher: Springer-Verlag
DOI: 10.1007/BFB0027595
Multirotor Aerial Vehicles Modeling, Estimation, and Control of Quadrotor
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2012
The effect of imaging modality (magnetic resonance imaging vs. computed tomography) and patient position (supine vs. prone) on target and organ at risk doses in partial breast irradiation
Publisher: Wiley
Date: 07-12-2021
DOI: 10.1002/JMRS.453
Abstract: Conventionally computed tomography (CT) has been used to delineate target volumes in radiotherapy however, magnetic resonance imaging (MRI) is being continually integrated into clinical practice therefore, the investigation into targets derived from MRI is warranted. The purpose of this study was to evaluate the impact of imaging modality (MRI vs. CT) and patient positioning (supine vs. prone) on planning target volumes (PTVs) and organs at risk (OARs) for partial breast irradiation (PBI). A retrospective data set, of 35 patients, was accessed where each patient had undergone MRI and CT imaging for tangential whole breast radiotherapy in both the supine and prone position. PTVs were defined from seroma cavity (SC) volumes delineated on each respective image, resulting in 4 PTVs per patient. PBI plans were generated with 6MV external beam radiotherapy (EBRT) using the TROG 06.02 protocol guidelines. A prescription of 38.5Gy in 10 fractions was used for all cases. The impact analysis of imaging modality and patient positioning included dose to PTVs, and OARs based on agreed criteria. Statistical analysis was conducted though Mann–Whitey U, Fisher’s exact and chi‐squared testing ( P 0.005). Twenty‐four patients were eligible for imaging analysis. However, positioning analysis could only be investigated on 19 of these data sets. No statistically significant difference was found in OAR doses based on imaging modality. Supine patient position resulted in lower contralateral breast dose (0.10Gy ± 0.35 vs. 0.33Gy ± 0.78, p = 0.011). Prone positioning resulted in a lower dose to ipsilateral lung volumes (10.85Gy ± 11.37 vs. 3.41Gy ± 3.93, P = .001). PBI plans with PTVs derived from MRI exhibited no clinically significant differences when compared to plans created from CT in relation to plan compliance and OAR dose. Patient position requires careful consideration regardless of imaging modality chosen. Although there was no proven superiority of MRI derived target volumes, it indicates that MRI could be considered for PBI target delineation.
Optimal Workpiece Placement Based on Robot Reach, Manipulability and Joint Torques
Publisher: IEEE
Date: 29-05-2023
Robotics, Vision and Control
Publisher: Springer Berlin Heidelberg
Date: 2011
Routed roads: Probabilistic vision-based place recognition for changing conditions, split streets and varied viewpoints
Publisher: SAGE Publications
Date: 11-07-2016
Abstract: Vision-based place recognition is becoming an increasingly viable component of navigation systems for autonomous robots and personal aids. However, attaining robustness to variations in environmental conditions—such as time of day, weather and season—and camera viewpoint remains a major challenge. Featureless, sequence-based place recognition techniques have demonstrated promise, but often rely on long image sequences, manually-tuned parameters and exhaustive sequence match searching through multiple locations and image scales. In this paper, we address these deficiencies by implementing a condition-invariant, sequence-based place recognition algorithm suitable for networked environments, such as city streets, and routes with lateral platform shift, such as multiple-lane roads. We achieve this capability by augmenting the traditional 1D image database with a directed graph to describe the branching of contiguous sections of imagery at intersections. A particle filter is then used to efficiently explore these paths, as well as various lateral positions synthesized by rescaling imagery. Our proposed approach eliminates manual tuning of sequence length parameters, improves localization on branched routes, improves overall place recognition accuracy and coverage, and reduces computational requirements. We evaluated the new method against the original SeqSLAM and SMART algorithms on two day–night, road-based datasets and a summer–winter train dataset, where it attained superior precision-recall performance and coverage in all environments. Together, these contributions represent a significant step towards the provision of a robust, near parameter-free condition- and viewpoint-invariant visual place recognition capability for vehicles and robots.
Model-free and learning-free grasping by Local Contact Moment matching
Publisher: IEEE
Date: 10-2018
Scale-Invariant Features on the Sphere
Publisher: IEEE
Date: 2007
A model-based routing protocol for a mobile, delay tolerant network
Publisher: ACM
Date: 06-11-2007
Automated melt electrowritting platform with real-time process monitoring
Publisher: Elsevier BV
Date: 10-2021
Performance Tests for Visual Servo Control Systems, with Application to Partitioned Approaches to Visual Servo Control
Publisher: SAGE Publications
Date: 10-2003
DOI: 10.1177/027836490302210011
Abstract: Visual servoing has been a viable method of robot manipulator control for more than a decade. Initial developments involved position-based visual servoing (PBVS), in which the control signal exists in Cartesian space. The younger method, image-based visual servoing (IBVS), has seen considerable development in recent years. PBVS and IBVS offer tradeoffs in performance, and neither can solve all tasks that may confront a robot. In response to these issues, several methods have been devised that partition the control scheme, allowing some motions to be performed in the manner of a PBVS system, while the remaining motions are performed using an IBVS approach. To date, there has been little research that explores the relative strengths and weaknesses of these methods. In this paper we present such an evaluation. We have chosen three recent visual servo approaches for evaluation in addition to the traditional PBVS and IBVS approaches. We posit a set of performance metrics that mea sure quantitatively the performance of a visual servo controller for a specific task. We then evaluate each of the candidate visual servo methods for four canonical tasks with simulations and with experiments in a robotic work cell.
Nonlinear control of the Reaction Wheel Pendulum
Publisher: Elsevier BV
Date: 11-2001
A Modular Software Framework for Eye–Hand Coordination in Humanoid Robots
Publisher: Frontiers Media SA
Date: 25-05-2016
Real-time stereopsis using FPGAs
Publisher: Springer Berlin Heidelberg
Date: 1997
Spherical image-based visual servo and structure estimation
Publisher: IEEE
Date: 05-2010
Further Results with Localization and Mapping Using Range from Radio
Publisher: Springer Berlin Heidelberg
Date: 2006
Great expectations or waiting for Godot? Time for development of a near real‐time national reporting system of radiotherapy utilisation
Publisher: Wiley
Date: 24-05-2022
Changes for Betterment [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2011
Design, delay and performance in gaze control: Engineering and biological approaches
Publisher: Springer London
DOI: 10.1007/BFB0109669
Empirical modelling of rolling shutter effect
Publisher: IEEE
Date: 05-2014
Towards vision-based manipulation of plastic materials
Publisher: IEEE
Date: 10-2018
Exploiting temporal information for DCNN-based fine-grained object classification
Publisher: IEEE
Date: 11-2016
Transforming Agriculture through Pervasive Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2007
DOI: 10.1109/MPRV.2007.47
Radiation dose and contralateral breast cancer risk associated with megavoltage cone-beam computed tomographic image verification in breast radiation therapy.
Publisher: Elsevier BV
Date: 04-2013
Virtual fencing applications: Implementing and testing an automated cattle control system
Publisher: Elsevier BV
Date: 03-2007
Using a WAP phone as robot interface
Publisher: IEEE
Date: 2002
Sensing and Control for a Small-Size Helicopter
Publisher: Springer Berlin Heidelberg
Darjeeling, a Java compatible virtual machine for microcontrollers
Publisher: ACM
Date: 12-2008
Estimation of the optimal utilisation rates of radical prostatectomy, external beam radiotherapy and brachytherapy in the treatment of prostate cancer by a review of clinical practice guidelines.
Publisher: Elsevier BV
Date: 2016
Adversarial discriminative sim-to-real transfer of visuo-motor policies
Publisher: SAGE Publications
Date: 19-08-2019
Abstract: Various approaches have been proposed to learn visuo-motor policies for real-world robotic applications. One solution is first learning in simulation then transferring to the real world. In the transfer, most existing approaches need real-world images with labels. However, the labeling process is often expensive or even impractical in many robotic applications. In this article, we introduce an adversarial discriminative sim-to-real transfer approach to reduce the amount of labeled real data required. The effectiveness of the approach is demonstrated with modular networks in a table-top object-reaching task where a seven-degree-of-freedom arm is controlled in velocity mode to reach a blue cuboid in clutter through visual observations from a monocular RGB camera. The adversarial transfer approach reduced the labeled real data requirement by 50%. Policies can be transferred to real environments with only 93 labeled and 186 unlabeled real images. The transferred visuo-motor policies are robust to novel (not seen in training) objects in clutter and even a moving target, achieving a 97.8% success rate and 1.8 cm control accuracy. Datasets and code are openly available.
Regional Nodal Irradiation in Early-Stage Breast Cancer
Publisher: Massachusetts Medical Society
Date: 23-07-2015
Patterns of retreatment by radiotherapy.
Publisher: Elsevier BV
Date: 02-2011
A sensor network for compression and streaming of GPS trajectory data
Publisher: ACM
Date: 05-11-2008
A public key technology platform for wireless sensor networks
Publisher: ACM
Date: 05-11-2008
Modeling and control of a 3500 tonne mining robot
Publisher: Springer Berlin Heidelberg
Date: 1998
DOI: 10.1007/BFB0112968
All-environment visual place recognition with SMART
Publisher: IEEE
Date: 05-2014
First Anniversary as an EiC [From the Editor's Desk
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2010
The impact of imaging modality (CT vs MRI) and patient position (supine vs prone) on tangential whole breast radiation therapy planning.
Publisher: Elsevier BV
Date: 05-2017
Rubbing Shoulders With Mobile Service Robots
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Autonomous deployment and repair of a sensor network using an unmanned aerial vehicle
Publisher: IEEE
Date: 2004
Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter
Publisher: IEEE
Date: 05-2019
Vibration isolation for autonomous helicopter flight
Publisher: IEEE
Date: 2004
An Architecture for Reactive Mobile Manipulation On-The-Move
Publisher: IEEE
Date: 29-05-2023
Celebrating 50 Years of Robotics [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2011
The Pattern of Use of Hypofractionated Radiation Therapy for Early-Stage Breast Cancer in New South Wales, Australia, 2008 to 2012.
Publisher: Elsevier BV
Date: 10-2016
An Energy-efficient Rate Adaptive Media Access Protocol (RA-MAC) for Long-lived Sensor Networks
Publisher: MDPI AG
Date: 02-06-2010
DOI: 10.3390/S100605548
Establishing initial trust in autonomous Delay Tolerant Networks without centralised PKI
Publisher: Elsevier BV
Date: 11-2013
An automated symbolic and numeric procedure for manipulator rigid-body dynamic significance analysis and simplification
Publisher: IEEE
Probabilistic Object Detection: Definition and Evaluation
Publisher: IEEE
Date: 03-2020
Location of a dragline bucket in space using machine vision techniques
Publisher: IEEE
Robot navigation using human cues: A robot navigation system for symbolic goal-directed exploration
Publisher: IEEE
Date: 05-2015
Visibility Maximization Controller for Robotic Manipulation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
High dynamic range stereo vision for outdoor mobile robotics
Publisher: IEEE
Date: 05-2009
Automatic image scaling for place recognition in changing environments
Publisher: IEEE
Date: 05-2015
A new partitioned approach to image-based visual servo control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2001
DOI: 10.1109/70.954764
Trends in the use of short-course radiation therapy for rectal cancer in New South Wales, Australia.
Publisher: Wiley
Date: 03-12-2021
Abstract: Trends in the use of short‐course radiation therapy (RT) for rectal cancer in Australia are unknown. The purpose of this study was to compare short‐course RT and long‐course chemoradiation (CRT) utilisation in the neoadjuvant treatment of rectal cancer in New South Wales (NSW). Patients who received neoadjuvant RT (2009–2014) for rectal cancer were identified from the NSW Central Cancer Registry. Univariate and multivariable analyses were performed to investigate factors associated with receipt of short‐course RT. A total of 1196 (81%) patients received long‐course CRT, and 274 (19%) patients received short‐course RT. Receipt of short‐course RT was associated with older age: 54% in patients ≥80 years, and 11% in patients years ( P 0.0001). Patients with T2 disease (30%) were more likely to receive short‐course RT, compared with T3 (19%) or T4 (8%) disease ( P = 0.002). Patients with N0 (23%) disease were more likely to be treated with short‐course RT, compared with N+ (16%) ( P = 0.03). The proportion of short‐course RT delivered to patients with Charlson Comorbidity Index (CCI) ≥ 2 (28%) was higher than patients with CCI = 0 (17%) ( P = 0.002). There was wide variation in the proportion of short‐course RT used across residence local health districts (5–29%) ( P 0.0001). In rectal cancer patients treated with neoadjuvant RT in NSW, 19% received short‐course RT. The use of short‐course RT was associated with older age, comorbidities and less advanced disease. Wide variation across NSW was identified and future research investigating factors for the variation will be useful.
Modelling local deep convolutional neural network features to improve fine-grained image classification
Publisher: IEEE
Date: 09-2015
FSNet
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer
Publisher: Elsevier BV
Date: 10-2022
Robotics for Sustainable Broad-Acre Agriculture
Publisher: Springer International Publishing
Date: 2015
NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Farm Workers of the Future: Vision-Based Robotics for Broad-Acre Agriculture
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Prediction of outcome of early ER+ breast cancer is improved using a biomarker panel, which includes Ki-67 and p53.
Publisher: Springer Science and Business Media LLC
Date: 28-06-2011
DOI: 10.1038/BJC.2011.228
Load Haul Dump Vehicle Kinematics and Control
Publisher: ASME International
Date: 03-2003
DOI: 10.1115/1.1541671
Abstract: This paper examines the kinematics and control of a Load Haul Dump Vehicle used in underground mining operations. The aim of the work is to develop an autonomous guidance strategy. A linear, state-space, mathematical model of the vehicle is derived purely from geometric consideration of the vehicle and its desired path. Autonomous regulation of the vehicle is shown to be theoretically feasible using state variable feedback of displacement, heading, and curvature error. A relationship between stability and vehicle speed is derived. This expression forms the basis of an adaptive tuning strategy, which optimizes the vehicle’s dynamic response.
Landmark-Based Nonholonomic Visual Homing
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/10991459_7
Interview with Mark Spong [Turning Point
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2010
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
Publisher: Robotics: Science and Systems Foundation
Date: 26-06-2018
Dynamic Issues in Robot Visual-Servo Systems
Publisher: Springer London
Date: 1996
Robot control of a 3500 tonne mining machine
Publisher: IEEE
Date: 1999
ISSUES IN AUTONOMOUS NAVIGATION OF UNDERGROUND VEHICLES
Publisher: World Scientific Pub Co Pte Lt
Date: 09-1999
Estimation of an evidence-based benchmark for the optimal endocrine therapy utilization rate in breast cancer.
Publisher: Elsevier BV
Date: 10-2010
Prediction of local recurrence, distant metastases, and death after breast-conserving therapy in early-stage invasive breast cancer using a five-biomarker panel
Publisher: American Society of Clinical Oncology (ASCO)
Date: 10-2009
Abstract: To determine the clinical utility of intrinsic molecular phenotype after breast-conserving therapy (BCT) with lumpectomy and whole-breast irradiation with or without a cavity boost. Four hundred ninety-eight patients with invasive breast cancer were enrolled into a randomized trial of BCT with or without a tumor bed radiation boost. Tumors were classified by intrinsic molecular phenotype as luminal A or B, HER-2, basal-like, or unclassified using a five-biomarker panel: estrogen receptor, progesterone receptor, HER-2, CK5/6, and epidermal growth factor receptor. Kaplan-Meier and Cox proportional hazards methodology were used to ascertain relationships to ipsilateral breast tumor recurrence (IBTR), locoregional recurrence (LRR), distant disease-free survival (DDFS), and death from breast cancer. Median follow-up was 84 months. Three hundred ninety-four patients were classified as luminal A, 23 were luminal B, 52 were basal, 13 were HER-2, and 16 were unclassified. There were 24 IBTR (4.8%), 35 LRR (7%), 47 distant metastases (9.4%), and 37 breast cancer deaths (7.4%). The overall 5-year disease-free rates for the whole cohort were: IBTR 97.4%, LRR 95.6%, DDFS 92.9%, and breast cancer–specific death 96.3%. A significant difference was observed for survival between subtypes for LRR (P = .012), DDFS (P = .0035), and breast cancer–specific death (P = .0482), but not for IBTR (P = .346). The 5-year and 10-year survival rates varied according to molecular subtype. Although this approach provides additional information to predict time to IBTR, LRR, DDFS, and death from breast cancer, its predictive power is less than that of traditional pathologic indices. This information may be useful in discussing outcomes and planning management with patients after BCT.
Surgical and radiotherapy patterns of care in the management of breast cancer in NSW and ACT Australia.
Publisher: Wiley
Date: 30-11-2021
Abstract: This study aims to report on the surgical and radiotherapy patterns of breast cancer care in New South Wales (NSW) and Australian Capital Territory (ACT) in Australia, to identify factors that impact on utilisation of evidence‐based treatment and to report on the overall survival (OS) rate and the influencing factors on OS. Cancer registry data linked to hospital records for all patients with breast cancer diagnosis in NSW and ACT between 2009 and 2014 were used to calculate rates of breast conserving surgery (BCS), mastectomy, sentinel lymph node biopsy (SLNB), axillary lymph node dissection (ALND) and radiotherapy. Multivariate analysis used to identify factors that led to variations in care. 5‐year OS was calculated and cox regression model assessed factors that influenced survival. Data for 30,337 patients were analysed. BCS and mastectomy rates were 64% and 36%, respectively. The SLNB, ALND and ALND after SLNB rates were 61.5%, 32.1% and 6.4%, respectively. Radiotherapy was utilised in 63%. Younger age, socio‐economic disadvantage, longer distance to a radiotherapy facility and overseas place of birth were factors that predicted for increased rates of mastectomy and ALND. Radiotherapy was more likely to be utilised in later years of diagnosis, patients between 40‐69 years old, and those who lived in major cities and closer to a radiotherapy facility. 5‐year OS was 80.5%. Older patients, the socioeconomically disadvantaged and those advanced tumours had worse survival. Variations in breast cancer care continue to exist in certain patient groups that we identified. Targeted strategic planning and further research to identify other drivers of existing disparities remain a priority.
Moving Toward a Multimedia Magazine [From the Editor's Desk]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
A symbolic and numeric procedure for manipulator rigid-body dynamic significance analysis and simplification
Publisher: Cambridge University Press (CUP)
Date: 09-1998
DOI: 10.1017/S0263574798000769
Abstract: This paper describes an automated procedure for analysing the significance of each of the many terms in the equations of motion for a serial-link robot manipulator. Significance analysis provides insight into the rigid-body dynamic effects that are significant locally or globally in the manipulator's state space. Deleting those terms that do not contribute significantly to the total joint torque can greatly reduce the computational burden for online control, and a Monte-Carlo style simulation is used to investigate the errors thus introduced. The procedures, freely available, are a hybrid of symbolic and numeric techniques implemented using a standard computer algebra package.
Humanoid Robots [Turning Points]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2011
Not your grandmother’s toolbox – the Robotics Toolbox reinvented for Python
Publisher: IEEE
Date: 30-05-2021
Visual Predictive Control of Spiral Motion
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2014
Robotics, Vision and Control
Publisher: Springer International Publishing
Date: 2017
Estimating the demand for radiotherapy from the evidence: a review of changes from 2003 to 2012.
Publisher: Elsevier BV
Date: 07-2014
What is multidisciplinary cancer care like in practice? a protocol for a mixed-method study to characterise ambulatory oncology services in the Australian public sector
Publisher: BMJ
Date: 10-2019
DOI: 10.1136/BMJOPEN-2019-031179
Abstract: An understanding of the real-world provision of oncology outpatient services can help maintain service quality in the face of escalating demand and tight budgets, by informing the design of interventions that improve the effectiveness or efficiency of provision. The aims of this study are threefold. First, to develop an understanding of cancer services in outpatient clinics by characterising the organisation and practice of multidisciplinary care (MDC). Second, to explore the key areas of: (a) clinical decision-making and (b) engagement with patients’ supportive needs. Third, to identify barriers to, and facilitators of, the delivery of quality care in these settings. A suite of mixed-methods studies will be implemented at six hospitals providing cancer outpatient clinics, with a staged roll-out. In Stage One, we will examine policies, use unstructured observations and undertake interviews with key health professionals to characterise the organisation and delivery of MDC. In Stage Two, observations of practice will continue, to deepen our understanding, and to inform two focused studies. The first will explore decision-making practices and the second will examine how staff engage with patients’ needs both studies involve interviews, to complement observation. As part of the study of supportive care, we will examine the implications of an introduction of patient-reported measures (PRMs) into care, adding surveys to interviews before and after PRMs roll-out. Data analysis will account for site-specific and cross-site issues using an adapted Qualitative Rapid Appraisal, Rigorous Analysis approach. Quantitative data from clinician surveys will be statistically analysed and triangulated with the related qualitative study findings. Ethical approval was granted by South Eastern Sydney Local Health District Human Research Ethics Committee (no. 18/207). Findings will be shared with participating hospitals and widely disseminated through publications and presentations.
Robotics and Control
Publisher: Springer International Publishing
Date: 2022
Gaps in optimal care for lung cancer.
Publisher: Elsevier BV
Date: 08-2008
Animal Behaviour Understanding using Wireless Sensor Networks
Publisher: IEEE
Date: 11-2006
Ibrutinib as Initial Therapy for Patients with Chronic Lymphocytic Leukemia
Publisher: Massachusetts Medical Society
Date: 17-12-2015
Dragline Automation: Experimental Evaluation through Productivity Trial
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/10991459_44
Sample-Efficient Learning of Deformable Linear Object Manipulation in the Real World Through Self-Supervision
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
An Introduction to Inertial and Visual Sensing
Publisher: SAGE Publications
Date: 06-2007
Abstract: In this paper we present a tutorial introduction to two important senses for biological and robotic systems — inertial and visual perception. We discuss the fundamentals of these two sensing modalities from a biological and an engineering perspective. Digital camera chips and micro-machined accelerometers and gyroscopes are now commodities, and when combined with today's available computing can provide robust estimates of self-motion as well 3D scene structure, without external infrastructure. We discuss the complementarity of these sensors, describe some fundamental approaches to fusing their outputs and survey the field.
Scientific Publishing [Editor's Corner
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2010
Minimally invasive techniques for medically inoperable stage 1 non small cell lung cancer: radiotherapy is still the gold standard.
Publisher: Wiley
Date: 02-2014
Deployment and Connectivity Repair of a Sensor Net with a Flying Robot
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11552246_32
A Chat with Ruzena Bajcsy [Turning Point
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2010
Object-Independent Human-to-Robot Handovers Using Real Time Robotic Vision
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
A review of setup error in supine breast radiotherapy using cone-beam computed tomography.
Publisher: Elsevier BV
Date: 2016
Quantification of cardiac subvolume dosimetry using a 17 segment model of the left ventricle in breast cancer patients receiving tangential beam radiotherapy
Publisher: Elsevier BV
Date: 03-2019
DOI: 10.1016/J.RADONC.2018.09.021
Abstract: Subacute changes following breast radiotherapy have been demonstrated in discrete areas of the left ventricle (LV), with recent guidelines being developed to help determine dose to subvolumes of the LV. This study aims to determine doses to the 17 segments of the LV as per the American Heart Association (AHA) and other cardiac subvolumes, and to correlate mean heart (MHD) dose with various subvolume dosimetric indices. These results may direct focus to specific left ventricular segments in studies of radiation-related heart disease incorporating surveillance imaging, help to determine more precise dose response relationships, and potentially aid prediction of late radiation effects. The heart and cardiac subvolumes of 29 patients treated with tangential radiotherapy for left breast cancer were contoured. Delineation of cardiac subvolumes (cardiac chambers, cardiac valves and the 17 segments of the LV) was undertaken using a novel contouring method on planning CT data reformatted into the cardiac axis. In idual segments were then combined to determine doses to the basal, mid and apical left ventricular regions, and the anterior, septal, inferior and lateral ventricular walls. Radiotherapy doses (including maximum, mean, D1cc, V25) were determined. Correlation analyses were performed between MHD and various substructure dosimetric indices. Twenty five patients received tangential breast free breathing radiotherapy alone, and four patients received regional nodal irradiation including the internal mammary chain with deep inspiration breath hold (DIBH). For patients receiving breast only radiation, the median mean heart radiation dose was 2.62 Gy (range 1.52-3.90 Gy), and a heterogeneous dose distribution to the LV was noted, with the apical region receiving the highest median mean dose (14.99 Gy) compared with the mid and basal regions (3.10 Gy and 1.51 Gy respectively). The anterior LV wall received the highest median mean dose (9.21 Gy) with the remaining walls receiving similar mean doses (range 1.79-3.05 Gy). The anterior LV apical segment (segment 13) and apex (segment 17) received the highest in idual median mean segment doses (26.73 Gy and 30.02 Gy respectively). Apical segments received the highest median mean doses (segments 13, 14, 15, 16), followed by the mid anterior (segment 7) and anteroseptal (segment 8) segments. Segments receiving the highest doses remained unchanged between the DIBH cohort and free breathing cohort. MHD showed a high correlation with the anterior wall r = 0.71, p < 0.05 and entire left ventricle r = 0.82, p < 0.05, but correlations varied from weak to high when MHD was correlated with segments receiving highest doses (range r = 0.43-0.76), p < 0.05. In the setting of breast cancer radiotherapy, there are substantial RT dose variations within specific LV segments, with mid and apical anterior ventricular segments (segments 7, 13) and the apical region of the LV (segments 13, 14, 15, 16, 17) being consistently exposed to the highest radiation doses. Determining segmental and regional RT doses to the left ventricle may help guide focus in diagnostic cardiology in the post radiotherapy setting.
Special Issue on Robot Vision
Publisher: SAGE Publications
Date: 04-2015
Fine-grained classification via mixture of deep convolutional neural networks
Publisher: IEEE
Date: 03-2016
The machine vision toolbox - A MATLAB toolbox for vision and vision-based control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2005
The limits and potentials of deep learning for robotics
Publisher: SAGE Publications
Date: 04-2018
Abstract: The application of deep learning in robotics leads to very specific problems and research questions that are typically not addressed by the computer vision and machine learning communities. In this paper we discuss a number of robotics-specific learning, reasoning, and embodiment challenges for deep learning. We explain the need for better evaluation metrics, highlight the importance and unique challenges for deep robotic learning in simulation, and explore the spectrum between purely data-driven and model-driven approaches. We hope this paper provides a motivating overview of important research directions to overcome the current limitations, and helps to fulfill the promising potentials of deep learning in robotics.
Treatment with Adenosine Diphosphate Receptor Inhibitors—Longitudinal Assessment of Treatment Patterns and Events after Acute Coronary Syndrome (TRANSLATE-ACS) study design: Expanding the paradigm of
Publisher: Elsevier BV
Date: 11-2011
DOI: 10.1016/J.AHJ.2011.08.021
Abstract: Platelet inhibition is critical in reducing both short- and long-term atherothrombotic risks after acute myocardial infarction (MI), especially among patients managed with percutaneous coronary intervention (PCI). Currently available antiplatelet medications, including adenosine diphosphate (ADP) receptor inhibitors, have demonstrated variability in efficacy and safety in clinical trials, yet few studies have examined contemporary "real-world" approaches to platelet inhibition and associated outcomes. TRANSLATE-ACS is a prospective observational study that will track up to 17,000 MI patients managed with PCI, from the inhospital to outpatient settings for up to 12 months postdischarge to provide a comprehensive picture of current treatment patterns and outcomes in routine clinical practice. TRANSLATE-ACS exemplifies a collaborative study design that efficiently builds upon a well-established PCI registry platform, and yet, through a systematic telephone interview follow-up process, provides important longitudinal clinical and economic follow-up capacity through 15 months after initial MI hospitalization. Furthermore, TRANSLATE-ACS incorporates a hospital-level, clustered, randomized substudy to investigate the impact of point-of-care platelet inhibition testing on subsequent patient management. Finally, TRANSLATE-ACS provides feedback through quarterly reports to participating sites on their care practices benchmarked to peer performance to support and promote longitudinal quality of cardiovascular care delivery. TRANSLATE-ACS not only addresses important clinical and scientific questions but also includes pioneering design features that will assist in the evolution of clinical registries.
Wireless sensor devices for animal tracking and control
Publisher: IEEE (Comput. Soc.)
Date: 2004
DOI: 10.1109/LCN.2004.141
Implementing patient-reported outcomes into routine care: an audit of cancer patients from two local health districts in New South Wales to understand their capabilities and preferences.
Publisher: CSIRO Publishing
Date: 12-05-2022
DOI: 10.1071/AH21270
Abstract: Objective It has been established that the implementation of patient-reported outcome measures (PROMs) in routine care provides significant benefits to patients, providers and health services. However, there are patient-level barriers that must be identified and addressed for the successful implementation of PROMs. This study aimed to understand the capabilities and preferences of our cancer patient population prior to implementation of electronically collected PROMs (ePROMs). Specifically, we conducted a clinic audit to determine the proportion of patients in clinics with access to out-of-clinic internet those preferring to complete PROMs on paper or via an electronic device those capable of completing PROMs in English and those anticipating requiring assistance to complete PROMs. Methods Patients receiving cancer treatment or follow-up care at two Local Health Districts (LHDs) in New South Wales, Australia, completed a questionnaire (audit form) with items about internet and mobile access, communication preferences and assistance needed to complete PROMs. Participant demographic and treatment information were extracted from their electronic medical records. Results Across both LHDs, 637 of 1668 participants (38%) completed the audit forms. Mean participant age was 65 years (range = 23–98), 53% were female, and 92% were outpatients. Patients in the two LHDs differed in their levels of internet and email access, and ability to complete PROMs independently in English, suggesting that some LHD-specific tailoring of implementation strategies is necessary to optimise ePROMs uptake. Conclusion This study highlights the importance of understanding the specific local contexts and patient populations, including potential technology and language barriers, which can influence patient ability to complete ePROMs.
Experiments with Underwater Robot Localization and Tracking
Publisher: IEEE
Date: 04-2007
<title>High-performance visual servoing for robot end-point control</title>
Publisher: SPIE
Date: 06-08-1993
DOI: 10.1117/12.150215
Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Vision-Based Navigational Competencies for a Car-like Vehicle
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11552246_45
Visual Motion Estimation for an Autonomous Underwater Reef Monitoring Robot
Publisher: Springer Berlin Heidelberg
Date: 2006
Visual Servoing
Publisher: Springer International Publishing
Date: 2016
Autonomous Excavation Using a Rope Shovel
Publisher: Springer Berlin Heidelberg
Date: 2006
Robust sensing for a 3500 tonne field robot
Publisher: IEEE
A paired, double-blind, randomized comparison of a moisturizing durable barrier cream to 10% glycerine cream in the prophylactic management of postmastectomy irradiation skin care: trans Tasman Radiation Oncology Group (TROG) 04.01.
Publisher: Elsevier BV
Date: 05-2013
Visual servoing of a car-like vehicle - an application of omnidirectional vision
Publisher: IEEE
Herbal Medicine for Hot Flushes Induced by Endocrine Therapy in Women with Breast Cancer: A Systematic Review and Meta-Analysis.
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/1327251
Abstract: Objective. This systematic review was conducted to evaluate the clinical effectiveness and safety of herbal medicine (HM) as an alternative management for hot flushes induced by endocrine therapy in breast cancer patients. Methods. Key English and Chinese language databases were searched from inception to July 2015. Randomized Controlled Trials (RCTs) evaluating the effects of HM on hot flushes induced by endocrine therapy in women with breast cancer were retrieved. We conducted data collection and analysis in accordance with the Cochrane Handbook for Systematic Reviews of Interventions. Statistical analysis was performed with the software (Review Manager 5.3). Results. 19 articles were selected from the articles retrieved, and 5 articles met the inclusion criteria for analysis. Some included in idual studies showed that HM can relieve hot flushes as well as other menopausal symptoms induced by endocrine therapy among women with breast cancer and improve the quality of life. There are minor side effects related to HM which are well tolerated. Conclusion. Given the small number of included studies and relatively poor methodological quality, there is insufficient evidence to draw positive conclusions regarding the objective benefit of HM. Additional high quality studies are needed with more rigorous methodological approach to answer this question.
Dynamic Virtual Fences for Controlling Cows
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11552246_49
The design and evaluation of a mobile sensor/actuator network for autonomous animal control
Publisher: ACM Press
Date: 2007
Development and Integration of a Solar Powered Unmanned Aerial Vehicle and a Wireless Sensor Network to Monitor Greenhouse Gases
Publisher: MDPI AG
Date: 11-02-2015
DOI: 10.3390/S150204072
Characterisation and Modelling of Voice Traffic in First Responder Networks
Publisher: IEEE
Date: 10-2007
DOI: 10.1109/LCN.2007.49
On the choice of grasp type and location when handing over an object
Publisher: American Association for the Advancement of Science (AAAS)
Date: 20-02-2019
DOI: 10.1126/SCIROBOTICS.AAU9757
Abstract: During a handover, passers prefer precision grasps and grasp purposive parts of objects, leaving “handles” free for receivers.
Multiple map hypotheses for planning and navigating in non-stationary environments
Publisher: IEEE
Date: 05-2014
PTZ camera pose estimation by tracking a 3D target
Publisher: IEEE
Date: 05-2011
Estimation of the optimal brachytherapy utilisation rate in the treatment of vaginal cancer and comparison with patterns of care.
Publisher: Wiley
Date: 28-05-2012
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