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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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. Notingher (expertise in Raman spectroscopy), Dr. Gordon (Optical Fibre Imaging) and Dr Mohammad (snake-like medical robots). For further information: please contact Ioan Notingher (ioan.notingher
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by Manchester United FC. This approach to real-time imaging will be integrated into an AI imaging analytics package to promote automatic injury detection and aid player diagnosis by the partner medical
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experiences. Co-design and prototype serious games for teaching independent living skills to young adults with LD. Evaluate prototype(s) through user study with young adults to understand the effects
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The recent advent of deep learning (DL) has enabled data-driven models, paving the way for the full exploitation of rich image datasets from which physics can be learnt. Here at the University
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considered. Hyperspectral Imaging (HSI) is a non-invasive and quick imaging technique that offers valuable diagnostic insights. In recent years, medical HSI has shown promising outcomes across various medical
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metastasis. This project will combine biochemical and mass proteomics approaches with gene editing tools and live cell imaging (deep tissue in vivo) to provide mechanistic insights into how surface
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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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points and possible effects due to the interruptions themselves. A compromise/decision therefore needs to be made between imaging in 3D and missing temporal changes shorter than the scan time or switching
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Award Summary 100% of home tuition fees paid and an annual stipend (living expenses) of £18,622. Overview Are you interested in developing a 3D Imaging Flow Cytometer for biomedical applications