Fuping Wu
PhD
Researcher in Medical Image Analysis
Fuping is a postdoctoral researcher in the Bartlomiej Papiez group, studying the integration of medical imaging and genetic data using machine learning for identification of micro and macro vascular disease targets. The project is a part of an Oxford – Novo Nordisk Collaboration.
Fuping has been studying medical image analysis since his PhD, and is mainly interested in image segmentation and classification using few labeled data, especially using domain adaptation and semi-supervised learning methods. He is also interested in federated/incremental learning.
Recent publications
Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning.
Journal article
Zhang L. et al, (2025), CoRR, abs/2508.18186
DiffuSeg: Domain-Driven Diffusion for Medical Image Segmentation.
Journal article
Zhang L. et al, (2025), IEEE J Biomed Health Inform, 29, 3619 - 3631
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.
Journal article
Liu Y. et al, (2025), Med Image Anal, 102
MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching.
Journal article
Wu F. et al, (2025), IEEE Trans Med Imaging, 44, 1648 - 1658
Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST.
Journal article
Wu F. and Papiez BW., (2025), CoRR, abs/2501.14685