About
Yifan Li is a Researcher in the Department of Computer Science at the University of Bath. His work focuses on advancing machine learning techniques for medical imaging applications, particularly in tumor segmentation and survival prediction for neuro-oncological conditions. He has published extensively in top-tier venues such as Computerized Medical Imaging and Graphics and the MICCAI workshops.
His research integrates advanced neural network architectures with domain-specific challenges in medical imaging, addressing issues like skull stripping in MRI scans and multi-objective optimization for glioblastoma analysis. Collaborations span interdisciplinary teams involving clinicians and computational scientists.
Notable contributions include the development of G-CNN for adaptive geometric processing and Bayesian optimization frameworks for tumor partitioning. His PhD thesis (2025) explores generalization challenges in medical image machine learning under the supervision of Prof. Chen and Dr. Fincham Haines.
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