معرفی
Liam Burrows is a Researcher in the Department of Mechanical Engineering at the University of Bath. His work focuses on medical imaging and deep learning applications in pathology, particularly in tumor stroma analysis and meningioma segmentation. He holds a PhD in Mathematics from the University of Liverpool (2022), specializing in variational and deep learning methods for selective segmentation. His research addresses UN Sustainable Development Goals related to education and health.
Education: Doctor of Philosophy (Mathematics) from University of Liverpool, specializing in 'Variational and Deep Learning Methods for Selective Segmentation' awarded June 2022.
Research interests include combining mathematical modeling with deep learning to automate assessment of immunohistochemical stains and develop semi-automatic segmentation techniques for medical diagnoses. His recent work emphasizes histopathology image analysis and weakly supervised learning approaches.
Publications (2022–2024) demonstrate expertise in variational models, hybrid pipelines, and automated lesion segmentation. No scientific awards explicitly listed but maintains active collaborations in medical imaging research.
Engagement includes public talks like CMIT Summer Research Internship (June 2024) and NHSX Public Patient Information Group AI Talk (May-Nov 2024). No formal student advisement or grant details provided in available texts.
