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Understanding progressive vision loss in the eye disease glaucoma. Glaucoma is the second leading cause of irreversible vision loss in elderly Australians, although determining treatment failure is currently very dif?cult. This project will radically improve the measurement of glaucoma progression and treatment failure. We will also address fundamental questions regarding how glaucoma destroys vision.
Dynamic ocular imaging: New tools to study neurodegenerative disease. Neurovascular uncoupling occurs when blood supply and energy production is no longer responsive to the metabolic of nervous tissue. Neurovascular uncoupling is thought to be a key mechanism in the development of debilitating neurodegenerative diseases such as Alzheimer’s disease and glaucoma. This project will be the first study to develop, validate and employ a comprehensive suite to simultaneously image blood flow, oxygen sa ....Dynamic ocular imaging: New tools to study neurodegenerative disease. Neurovascular uncoupling occurs when blood supply and energy production is no longer responsive to the metabolic of nervous tissue. Neurovascular uncoupling is thought to be a key mechanism in the development of debilitating neurodegenerative diseases such as Alzheimer’s disease and glaucoma. This project will be the first study to develop, validate and employ a comprehensive suite to simultaneously image blood flow, oxygen saturation, metabolic activity and retinal function to understand neurovascular uncoupling in aging and age-related neurodegeneration. Read moreRead less
Resolving multi-sensory conflict as we age: audio-visual integration and the role of normal and abnormal sensory decline. Australia has an ageing population. Even the healthiest older individuals undergo some deterioration of vision and hearing, however, these senses are almost invariably studied in isolation. The real world is multisensory. This project will enhance our knowledge of how ageing impacts on the interpretation of visual and auditory information regarding the timing and location of ....Resolving multi-sensory conflict as we age: audio-visual integration and the role of normal and abnormal sensory decline. Australia has an ageing population. Even the healthiest older individuals undergo some deterioration of vision and hearing, however, these senses are almost invariably studied in isolation. The real world is multisensory. This project will enhance our knowledge of how ageing impacts on the interpretation of visual and auditory information regarding the timing and location of objects; essential precursors to many real world tasks, for example: driving, interpreting speech, and hazard avoidance. This knowledge is essential for the optimisation of audio-visual environments for the elderly, and for the development of tools to improve performance in the presence of sensory decline due to age-related eye disease.Read moreRead less
Lipidomics of vision. Presbyopia and cataract are the major causes of visual impairment worldwide. Nevertheless, our understanding of lens ageing at both a cellular and molecular level is limited. This project will gain new insight into the effect of age on lens membrane lipids and their role in the development of presbyopia and cataract.
Involvement of the Human Retinal Endothelial Cell in Blinding Eye Disease. Endothelial cells line the blood vessels of the vascular networks that circulate blood through the tissues. The molecular constitution of each endothelial cell is different and specific to function, but may predispose to tissue-specific disease. Retinal endothelial cells ensure the nutrition and protection of a tissue critical to vision, but are key participants in retinal ischemic, inflammatory and infectious diseases th ....Involvement of the Human Retinal Endothelial Cell in Blinding Eye Disease. Endothelial cells line the blood vessels of the vascular networks that circulate blood through the tissues. The molecular constitution of each endothelial cell is different and specific to function, but may predispose to tissue-specific disease. Retinal endothelial cells ensure the nutrition and protection of a tissue critical to vision, but are key participants in retinal ischemic, inflammatory and infectious diseases that threaten vision. This project will investigate molecular activities of retinal endothelial cells that are relevant to retinal disease processes and explore future biological therapies directed against the human retinal endothelial cell that address efficacy and safety deficiencies of current treatments.Read moreRead less
Foundations of Vision Based Control of Robotic Vehicles. Automated and partially automated robotic vehicles are an emerging technology in society. The safety and performance of such systems depends crucially on their sensing and control algorithms. Vision sensing is one of the few sensor modalities that has the potential to adequately represent the complexity of a real world environment. By providing simple and effective vision based control algorithms this project develops Frontier Technologi ....Foundations of Vision Based Control of Robotic Vehicles. Automated and partially automated robotic vehicles are an emerging technology in society. The safety and performance of such systems depends crucially on their sensing and control algorithms. Vision sensing is one of the few sensor modalities that has the potential to adequately represent the complexity of a real world environment. By providing simple and effective vision based control algorithms this project develops Frontier Technologies for Building and Transforming Australian Industries by enabling a wide range of robotic vehicle applications, including aerial, submersible, and wheeled vehicles.Read moreRead less
Smart Algorithms Linking Medical Image Data and Measures of Dysfunction. Losing sight has a profound affect on a person's quality of life. Advances in devices that monitor vision have not been matched by advances in computer software that analyses data from those devices. This project will combine computer science, visual neuroscience and clinical expertise to devise algorithms and build software that will vastly improve clinician's abilities to diagnose and monitor vision loss. In turn, this wi ....Smart Algorithms Linking Medical Image Data and Measures of Dysfunction. Losing sight has a profound affect on a person's quality of life. Advances in devices that monitor vision have not been matched by advances in computer software that analyses data from those devices. This project will combine computer science, visual neuroscience and clinical expertise to devise algorithms and build software that will vastly improve clinician's abilities to diagnose and monitor vision loss. In turn, this will dramatically improve the chances of those with diseases such as glaucoma to preserve their sight into old age. Furthermore, outcomes from this project will inform the development bionic eye technologies, which will assist those with eye diseases such as retinis pigmantosa and age-related macular degeneration to see.Read moreRead less
Continuously learning to see. The ultimate goal of computer vision is to make a machine able to understand the world through analysis of images or videos. The new machine learning techniques developed in this project will enable previously impossible methods of computer vision and help strengthen Australia's competitiveness in this important area.
Deep Adder Networks on Edge Devices. This project aims to empower edge devices with intelligence by developing advanced deep neural networks that address the conflict between the high resource requirements of deep learning and the generally inadequate performance of the edge. Multiplication has been the dominant type of operation in deep learning, though the addition is known to be much cheaper. This project expects to yield theories and algorithms that allow deep neural networks consisting of n ....Deep Adder Networks on Edge Devices. This project aims to empower edge devices with intelligence by developing advanced deep neural networks that address the conflict between the high resource requirements of deep learning and the generally inadequate performance of the edge. Multiplication has been the dominant type of operation in deep learning, though the addition is known to be much cheaper. This project expects to yield theories and algorithms that allow deep neural networks consisting of nearly pure additions to fulfil the requisites of accuracy, robustness, calibration and generalisation in real-world computer vision tasks. The success of this project will benefit deep learning-based products on smartphones or robots in health and cybersecurity.Read moreRead less
AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing n ....AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing novel deep learning algorithms. The new algorithms will benefit a wide range of applications, e.g. to effectively use car crash training samples for accurately identifying potential road crashes in transport and to effectively use rare medical imaging training data for robustly diagnosing diseases in health.Read moreRead less