Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features t ....Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features to analyse in each modality and the hidden relationships between them. The use of deep belief networks has produced promising results in several fields, such as speech recognition, and so this project believes that our approach has the potential to improve both the sensitivity and specificity of breast cancer detection.Read moreRead less
Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the ....Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes. The project will validate the approach on a real-world case study data set concerning the prediction of five-year survival of chronic disease.Read moreRead less
ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies th ....ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies that will allow robots to see as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
ARC/NHMRC Research Network in Ageing Well. The ARC Research Network on Ageing Well will support interdisciplinary, high quality research in the National Research Priority Goal of Ageing Well, Ageing Productively. It will build scale and focus on Australia's notable research strengths in ageing, promote collaborative research, and extend research capacities. The Network will link outstanding researchers from many disciplines, nurture developing researchers, relate social to health researchers, s ....ARC/NHMRC Research Network in Ageing Well. The ARC Research Network on Ageing Well will support interdisciplinary, high quality research in the National Research Priority Goal of Ageing Well, Ageing Productively. It will build scale and focus on Australia's notable research strengths in ageing, promote collaborative research, and extend research capacities. The Network will link outstanding researchers from many disciplines, nurture developing researchers, relate social to health researchers, strengthen international collaboration, and involve and inform end-point users. It will foster research which responds to the aspirations and needs of older Australians and informs action that can improve experiences of individual and population ageing.Read moreRead less
Improving zoo/aquarium conservation learning outcomes: a values approach. This project aims to improve the educational value of zoos and aquariums in teaching and engaging the public about conservation issues. Although zoos and aquariums claim their current education programs are effective in reaching and educating the public on conservation issues, research shows their influence on visitors’ environmental behaviour is limited. The project intends to investigate the influence of zoo and aquarium ....Improving zoo/aquarium conservation learning outcomes: a values approach. This project aims to improve the educational value of zoos and aquariums in teaching and engaging the public about conservation issues. Although zoos and aquariums claim their current education programs are effective in reaching and educating the public on conservation issues, research shows their influence on visitors’ environmental behaviour is limited. The project intends to investigate the influence of zoo and aquarium visitors’ values or broad life goals on their environmental learning outcomes; develop values-based conservation education strategies; and measure the impact of these on visitors’ adoption of conservation actions. The intended outcomes are guidelines that will replace the current ‘one size fits all’ conservation messages with tailored experiences that attract, engage and influence those for whom environmental care and protection are not necessarily of central concern.Read moreRead less
Carbon neutral communities: making the transition. This project has well defined National benefits, both economic and social, for the collaborative partners, the business community, policy makers, community groups and the broader Australian community. It contributes toward NRP 1, through developing practical measures for reducing GHG emissions in Australian urban areas, and strategies for overcoming barriers to greater uptake of energy efficiency and alternative technologies; and helping Austra ....Carbon neutral communities: making the transition. This project has well defined National benefits, both economic and social, for the collaborative partners, the business community, policy makers, community groups and the broader Australian community. It contributes toward NRP 1, through developing practical measures for reducing GHG emissions in Australian urban areas, and strategies for overcoming barriers to greater uptake of energy efficiency and alternative technologies; and helping Australia to meet its greenhouse reduction targets. The project economic benefits to through energy savings; stimulating innovation in urban design, building design and transport use; promoting new business opportunities; and encouraging more sustainable lifestyle decisions. Read moreRead less
ARC Research Network in Spatially Integrated Social Science. The ARC Research Network in Spatially Integrated Social Science (SISS) builds Australia's capacity and capability for innovative, collaborative, cross-disciplinary effort to investigate the impacts of change on the behaviour and well-being of people and the fortunes of places. SISS theories and research tools permit the integration of diverse and complex databases, the generation of new synthetic datasets, the incorporation of spatial ....ARC Research Network in Spatially Integrated Social Science. The ARC Research Network in Spatially Integrated Social Science (SISS) builds Australia's capacity and capability for innovative, collaborative, cross-disciplinary effort to investigate the impacts of change on the behaviour and well-being of people and the fortunes of places. SISS theories and research tools permit the integration of diverse and complex databases, the generation of new synthetic datasets, the incorporation of spatial concepts into statistical analysis and modelling, powerful visualisation of information, and the building spatial decision support systems, to provide an improved evidence base and better informed decision-making to address the significant challenges facing Australia's people and its places.Read moreRead less
Special Research Initiatives - Grant ID: SR0354735
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Australian Network on Microelectronics, Optoelectronics and Microelectromechanical Systems. The Network will encompass semiconductor microelectronics, optoelectronics, sensors and microelectromechanical systems (MEMS). Fundamental research in these areas enables the technological advances that underpin rapidly developing industries such as information and telecommunications technologies, defence, aerospace, medicine, and remote sensing. Exciting challenges exist in designing new devices that exp ....Australian Network on Microelectronics, Optoelectronics and Microelectromechanical Systems. The Network will encompass semiconductor microelectronics, optoelectronics, sensors and microelectromechanical systems (MEMS). Fundamental research in these areas enables the technological advances that underpin rapidly developing industries such as information and telecommunications technologies, defence, aerospace, medicine, and remote sensing. Exciting challenges exist in designing new devices that exploit unique semiconductor systems and technologies. By sharing capabilities and resources (both capital and human), the network will enable the issues associated with such novel materials and devices to be addressed in a targeted manner. The network will also guarantee the ongoing future of research in the area by actively involving early career researchers and postgraduate students.Read moreRead less