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Research Topic : diagnostic algorithms
Status : Active
Field of Research : Psychology
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP190102916

    Funder
    Australian Research Council
    Funding Amount
    $268,054.00
    Summary
    A new look at perceptual expertise: the attentional Gestalt framework. This project aims to propose and rigorously test a new, mechanistic framework for understanding how training and experience alters our capacity to perceive and engage in skilled visual processing. The project intends to explain why trained visual experts often rapidly perceive things that elude novices. Expected outcomes of the project include new knowledge about the key mechanistic features that underlie skilled visual perfo .... A new look at perceptual expertise: the attentional Gestalt framework. This project aims to propose and rigorously test a new, mechanistic framework for understanding how training and experience alters our capacity to perceive and engage in skilled visual processing. The project intends to explain why trained visual experts often rapidly perceive things that elude novices. Expected outcomes of the project include new knowledge about the key mechanistic features that underlie skilled visual performance. Intended benefits of this knowledge include the development of artificial systems and improved training environments to facilitate and enhance human expert visual processing.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP170100494

    Funder
    Australian Research Council
    Funding Amount
    $673,460.00
    Summary
    Integrative brain imaging technologies. This project aims to develop quantitative metabolic imaging using simultaneous magnetic resonance imaging (MRI) and positron emission tomography (PET). The current generation of MR-PET scanners are capable of simultaneously acquiring MRI and PET data to enable quantitative anatomical, physiological and metabolic imaging. The project aims to develop new MRI methods for quantitative anatomical mapping, MR-based motion correction of dynamic PET scan data, and .... Integrative brain imaging technologies. This project aims to develop quantitative metabolic imaging using simultaneous magnetic resonance imaging (MRI) and positron emission tomography (PET). The current generation of MR-PET scanners are capable of simultaneously acquiring MRI and PET data to enable quantitative anatomical, physiological and metabolic imaging. The project aims to develop new MRI methods for quantitative anatomical mapping, MR-based motion correction of dynamic PET scan data, and joint estimation of physiological and metabolic organ activity. These advances will create innovative imaging technologies for advanced biomedical imaging research with a particular emphasis in healthy ageing.
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