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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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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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. 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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This is a full-time, funded PhD opportunity open to both home and overseas students. Only home fees are covered - eligible overseas students must make up the difference in tuition fee funding
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PhD studentship, University of Bradford, Faculty of Life Sciences Project Title: Funded PhD Project: Investigating the role of glycosylation in melanoma metastasis Project Supervisors: Dr Karthic
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major contribution in the prediction of displacement and strain fields only based on the greyscale content of undeformed XCT images. The proposed PhD project will expand on this work to further develop D2
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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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Supervisory Team: Joseph Lifton, Thomas Blumensath, Mark Mavrogordato Project description: Working closely with Rolls Royce, this PhD will establish advanced, but practical 3D X-ray imaging methods
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Duration of study: Full time - 4 years fixed term (1y MRes + 3y PhD) Starting date: September 2024 Primary Supervisor: Prof. Ilias Tachtsidis, Department of Medical Physics and Biomedical