Vision performance in relationship to spectacle lens design. Refractive errors such as short-sightedness, long-sightedness or presbyopia (age related decline in near vision) are the leading causes of visual impairment in the world. Of these, presbyopia affects almost 100% of the population above 45 years of age. This represents over 40% of all Australians. Although spectacles provide a safe and easy means of correcting refractive errors, they affect quality of life due to distorted vision, disco ....Vision performance in relationship to spectacle lens design. Refractive errors such as short-sightedness, long-sightedness or presbyopia (age related decline in near vision) are the leading causes of visual impairment in the world. Of these, presbyopia affects almost 100% of the population above 45 years of age. This represents over 40% of all Australians. Although spectacles provide a safe and easy means of correcting refractive errors, they affect quality of life due to distorted vision, discomfort such as head and neck ache and cosmetic effects. The goals of the project are to better understand the visual performance of young and old people who wear glasses and to develop improved spectacle lens designs to provide clear and comfortable vision over a range of distances.Read moreRead less
Semantic change detection through large-scale learning. This project aims to develop technologies which understand the content of images before higher-level analysis is performed. This approach is intended to allow more accurate and reliable decisions to be made using automated image analysis than has previously been possible. The project will particularly investigate the detection of change in the contents of an image.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347607
Funder
Australian Research Council
Funding Amount
$306,000.00
Summary
FishWorks - collaborative infrastructure for zebrafish research. Zebrafish have emerged as a powerful and cost-effective animal model for studying development, biology, and disease. FishWorks represents a large-scale co-operative initiative to develop state-of-the-art zebrafish housing, manipulation, genomics and screening infrastructure in Australia. This will both support and further enhance a core group of high quality researchers to engage in cutting-edge research in areas of acknowledged ex ....FishWorks - collaborative infrastructure for zebrafish research. Zebrafish have emerged as a powerful and cost-effective animal model for studying development, biology, and disease. FishWorks represents a large-scale co-operative initiative to develop state-of-the-art zebrafish housing, manipulation, genomics and screening infrastructure in Australia. This will both support and further enhance a core group of high quality researchers to engage in cutting-edge research in areas of acknowledged expertise as well as priority within their respective institutions. In addition, it will facilitate wide-ranging collaborative arrangements to further develop and exploit this research area.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561030
Funder
Australian Research Council
Funding Amount
$441,100.00
Summary
Developmental Imaging Facility. This application seeks to establish a facility to undertake expression profiling in vertebrate tissues on a genomic scale and at the highest resolution. Undertaking large scale projects of this nature requires specialised robotics and dedicated infrastructure for microscopy and tissue preparation. This facility will be the first of its type in Australia will permit researchers to perform genomic scale in situ screens, many as part of large international initiative ....Developmental Imaging Facility. This application seeks to establish a facility to undertake expression profiling in vertebrate tissues on a genomic scale and at the highest resolution. Undertaking large scale projects of this nature requires specialised robotics and dedicated infrastructure for microscopy and tissue preparation. This facility will be the first of its type in Australia will permit researchers to perform genomic scale in situ screens, many as part of large international initiatives in developmental and cellular biology. This large-scale, high-resolution expression profiling infrastructure is required to maintain international competitiveness and will dramatically improve our gene discovery, functional assessment and understanding of vertebrate development.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
The virtual human knee. This project aims to investigate the Virtual Human Knee (VHK) which provides a baseline knowledge about knee mechanics in healthy individuals and a tool for studying knee mechanics in silico. The new knowledge can be used for identifying individuals most at risk for injury, developing solutions for preventing injury and for assessing knee reconstruction and implantation methods. As such, VHK will mitigate the burden of knee injury to Australia and worldwide by progressing ....The virtual human knee. This project aims to investigate the Virtual Human Knee (VHK) which provides a baseline knowledge about knee mechanics in healthy individuals and a tool for studying knee mechanics in silico. The new knowledge can be used for identifying individuals most at risk for injury, developing solutions for preventing injury and for assessing knee reconstruction and implantation methods. As such, VHK will mitigate the burden of knee injury to Australia and worldwide by progressing disciplines including anatomy, bio-mechanics, sport science, rehabilitation, surgery and medical devices.Read moreRead less
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
Improving the efficiency of bovine oocyte maturation in vitro. For the dairy and beef industries, the hundreds of eggs (oocytes) in a high value cow's ovary that fail to produce a pregnancy are a wasted genetic resource. A key technology to unlocking this resource is in vitro maturation of oocytes, but the process is inefficient. One possible cause is that the current approaches to maturing oocytes in vitro do not adequately mimic the natural process in vivo. We will design new systems to matu ....Improving the efficiency of bovine oocyte maturation in vitro. For the dairy and beef industries, the hundreds of eggs (oocytes) in a high value cow's ovary that fail to produce a pregnancy are a wasted genetic resource. A key technology to unlocking this resource is in vitro maturation of oocytes, but the process is inefficient. One possible cause is that the current approaches to maturing oocytes in vitro do not adequately mimic the natural process in vivo. We will design new systems to mature cow oocytes in vitro by altering the chemical composition of maturation medium, thus improving the efficiency of laboratory embryo production and related technologies.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