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Contribute to high impact scientific and clinical projects in the rapidly growing research field of AI in medical imaging and cardiac mapping Located at South Eveleigh in the Faculty of Medicine and
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The project involves building and curating a comprehensive food image dataset suitable for mobile AI applications. High-accuracy deep learning models will be trained on this dataset and then
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Are you interested in applying your AI/DL knowledge to the medical domain? This project focuses on the use of AI in Medical Imaging (e.g. CT, MRI, X-Ray, Ultrasound, etc). The work includes
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, electrophysiology and advanced imaging to better understand brain function and neurological disease. We are seeking candidates with a PhD in Neuroscience or a related field who bring strong hands-on expertise in
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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
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Opportunity The Human Imaging Manager is responsible for delivering high-quality MRI, CT and PET CT imaging services to support human and pre-clinical research conducted within the Centre for Advanced Imaging
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council
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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time