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whole tumour while leaving in place as much healthy tissue as possible (tissue conserving surgery). This surgery is challenging because surgeons lack accurate imaging tools to assess the surgical margins
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experience in the areas of computer science, image processing, high performance computing, mathematics, and medicine. Dr Yanda Meng (Computer Vision, Medical Image Analysis, LLM), Prof Aline Villavicencio
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School of Engineering to deliver this ambitious research. Previous experience in optics, image processing and coding is desirable. Number of awards: 1 Start date: 22nd April 2024 Award duration: 3-years
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-of-the-art approaches heavily rely on the availability of a large corpus of image frames annotated by clinical experts through an expensive and time-consuming process. On the other hand, recent self-supervised
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Modern deep learning techniques achieve human-like performance in many medical image analysis tasks, including the identification of anomalous tissue/pathology from medical scans. To be trained
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records and imaging data (http://ai-multiply.co.uk/). We aim to discern risk patterns at both population and individual patient levels, enabling earlier intervention. Exploring the trajectories and care
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2024. The projects will be based around the development of advanced magnetic resonance techniques to optimise heterogenous catalysts and the operation of the reactor in which the catalysis occurs. Two
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on mental wellbeing, body image, and identity, PA is likely to have a key role to play in facilitating a healthy menopause transition. In this PhD you will seek to explore, taking a longitudinal, intervention
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opinion with a level of certainty to assist human experts. From the aspect of research methodology, the research work involves image processing, data analytics and machine learning, as well as image-based
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at the Faculty of Engineering (FoE), University of Nottingham which conducts cutting-edge research into the development of imaging technology for biomedical applications. Vision We are seeking PhD students who