Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
An Electro-Neural Vision System for the Blind. This project is aimed at the development of a device that can provide blind people with limited visual perception of the environment (i.e. alternative vision) via the use of miniature stereo video cameras, laser range sensors, vision processing equipment and electrodes placed on the surface of the skin for delivering the visual information to the brain.
Multi-modal, Multi-dimensional Virtual Microscopy for Diagnostic Quantitative Pathology. This project will contribute to the development of a new generation of virtual microscopy (VM) systems that provide new and innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of pathology. These systems have the potential to significantly enhance the efficiency and efficacy of not only primary diagnostic workflows, but also aspects of profi ....Multi-modal, Multi-dimensional Virtual Microscopy for Diagnostic Quantitative Pathology. This project will contribute to the development of a new generation of virtual microscopy (VM) systems that provide new and innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of pathology. These systems have the potential to significantly enhance the efficiency and efficacy of not only primary diagnostic workflows, but also aspects of proficiency testing and continuing education vital for a vibrant, well regulated discipline. In addition, the project will contribute to our knowledge of the pathology assessed in the screening and diagnosis of cancers such as cervical, lung and bladder cancers.Read moreRead less
Synchrotrons, wavelet analysis and novel imaging techniques - applying physics tools to the war against breast cancer. Breast cancer leads to the second highest number of person-years of life lost due to cancer in Australia, with little known about its transport around the body. Current screening methods for breast cancer are neither 100% sensitive or specific and are heavily dependent upon expert training. This project will contribute by yielding valuable information on the transport of breast ....Synchrotrons, wavelet analysis and novel imaging techniques - applying physics tools to the war against breast cancer. Breast cancer leads to the second highest number of person-years of life lost due to cancer in Australia, with little known about its transport around the body. Current screening methods for breast cancer are neither 100% sensitive or specific and are heavily dependent upon expert training. This project will contribute by yielding valuable information on the transport of breast cancer and contribute to the development of an automated diagnostic method, with the possibility of its application to other diseases. The project will also involve members of the regional community, train regional scientists and provide synchrotron experience for Australian scientists in time for Australia's first synchrotron.Read moreRead less
Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This p ....Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This project should give neuroscientists computational tools to comprehensively map the network architecture of the human brain.Read moreRead less
New Imaging Instrumentation and Algorithms for the Simultaneous Measurement of Multiple Radio-labelled Probes in vivo. Medical imaging plays an increasingly important role in basic biological research and health care. This project will lead to new imaging technologies that allow the simultaneous measurement of more than one biological process at a time in living subjects, providing new insights into disabling diseases, such as cancer and mental illness. An immediate benefit will be to strengthen ....New Imaging Instrumentation and Algorithms for the Simultaneous Measurement of Multiple Radio-labelled Probes in vivo. Medical imaging plays an increasingly important role in basic biological research and health care. This project will lead to new imaging technologies that allow the simultaneous measurement of more than one biological process at a time in living subjects, providing new insights into disabling diseases, such as cancer and mental illness. An immediate benefit will be to strengthen the expertise in biomedical engineering and instrumentation development in Australia, where we have international leadership. The technologies developed will provide advanced tools for making fundamental biological discoveries and translating them into biotechnological or clinical applications.Read moreRead less
Simultaneous measurement of brain function and behaviour in fully conscious laboratory animals. MicroPET is an advanced imaging technology that measures important biochemical processes, such as enzyme activity rates and receptor binding, in the living rodent brain. However, the requirement for the animal to be anaesthetised precludes the study of behavioural changes in response to sensory or drug stimulus during the imaging study. In this research, we will develop novel motion tracking and compu ....Simultaneous measurement of brain function and behaviour in fully conscious laboratory animals. MicroPET is an advanced imaging technology that measures important biochemical processes, such as enzyme activity rates and receptor binding, in the living rodent brain. However, the requirement for the animal to be anaesthetised precludes the study of behavioural changes in response to sensory or drug stimulus during the imaging study. In this research, we will develop novel motion tracking and computational algorithms that enable microPET to non-invasively image the brains of conscious, freely moving animals while simultaneously observing their behaviour. These new technologies will, for the first time, allow neuroscientists to study the genetic, behavioural and neurochemical correlates of brain disease.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101655
Funder
Australian Research Council
Funding Amount
$297,036.00
Summary
Discriminative detection and quantification of cancer imaging biomarkers. This project aims to develop a new framework for the detection and quantification of cancer biomarkers in diagnostic and histopathology images with discriminative modelling of intrinsic structures. The framework will be the first computerised solution to provide automated, quantitative annotations of cancer imaging biomarkers at the macroscopic and microscopic levels to support standardised reporting of image interpretatio ....Discriminative detection and quantification of cancer imaging biomarkers. This project aims to develop a new framework for the detection and quantification of cancer biomarkers in diagnostic and histopathology images with discriminative modelling of intrinsic structures. The framework will be the first computerised solution to provide automated, quantitative annotations of cancer imaging biomarkers at the macroscopic and microscopic levels to support standardised reporting of image interpretation. It will help to alleviate the inter-observer variability and time-consuming process of manual analysis. The project aims to advance fundamental biomedical imaging research in generalised visual structure extraction and classification, and enable large-scale translational research in systems pathology for personalised cancer care.Read moreRead less
Improved detection and characterisation of breast cancer using magnetic resonance imaging, and novel image analysis and pattern recognition techniques. Breast cancer is a leading cause of death in Australian women. With no clear cause, one mainstay of management has been early detection. Newer medical imaging technologies such as magnetic resonance imaging require complex analysis to achieve their full benefit. Should the computationally demanding analyses of these images provide more sensitive ....Improved detection and characterisation of breast cancer using magnetic resonance imaging, and novel image analysis and pattern recognition techniques. Breast cancer is a leading cause of death in Australian women. With no clear cause, one mainstay of management has been early detection. Newer medical imaging technologies such as magnetic resonance imaging require complex analysis to achieve their full benefit. Should the computationally demanding analyses of these images provide more sensitive and specific detection of early cancers, the potential reductions in morbidity and mortality from breast cancer will be of immense value. Successful implementation of the proposed project will further enhance Australia's position as a world leader in biomedical research and application of computational technologies to health problems.Read moreRead less
Special Research Initiatives - Grant ID: SR0567196
Funder
Australian Research Council
Funding Amount
$55,000.00
Summary
Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images. This project will investigate the utility of grid computing in the detection of breast cancer from magnetic resonance (MR) images. The large quantity of data acquired using MR imaging is difficult for clinicians to review and the cost of missed or incorrect detection is high. To provide rapid visualisation and assessment of the acquired data, grid computing will be used in c ....Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images. This project will investigate the utility of grid computing in the detection of breast cancer from magnetic resonance (MR) images. The large quantity of data acquired using MR imaging is difficult for clinicians to review and the cost of missed or incorrect detection is high. To provide rapid visualisation and assessment of the acquired data, grid computing will be used in conjunction with interactive visualisation with haptic feedback. Grid computing experience and haptic device expertise will be achieved via Swedish collaborators. The successful outcome of this project will be software for the production of 3D colour-coded breast images in which suspicious regions are highlighted and can be physically interrogated using the haptic device.Read moreRead less