Fuping Wu

University of Oxford
Email: fuping_wu@outlook.com

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Fuping Wu is now a postdoc researcher in medical image analysis, working at the Nuffield Department of Population Health, University of Oxford recently.

Fuping Wu has obtained the doctoral degree from the Department of Statistics, School of Management, Fudan University in 2021.

Fuping Wu obtained his bachelor degree in medical laboratory science from Tongji Medical College of Huazhong University of Science and Technology in 2012, and obtained master degree in applied mathematics from Wuhan University in 2016. From 2016.07 to 2017.06, he was a research assistant in Shanghai Jiao Tong University . He began his doctorate in medical image computing in 2017.09, supervised by Prof. Xiahai Zhuang and Prof. Jianqing Fan in School of Data Science, and has graduated in June 2021.

His PhD topic is mainly focused on domain adaptation for multi-modal medical image segmentation, and semi-supervised learning for image classification and segmentation problems. He is interested in solving medical images analysis problems with machine learning approaches. Currently, he works on multi-task learning for disease-related feature extraction, which aims at finding meaningful biomarkers or phenotypes indicating disease progress. These features would be processed for genetic analysis! In the future, he would like to extend the research interests to federated learning, reinforcement learning, image registration and incremental learning, which are important for the deployment and spread of machine learning or AI in real scenarios of medical imaging and computer-aided diagnosis in clinics.



  1. Lei Li#, Fuping Wu#, Sihan Wang#, etc. (Co-First Author)
    MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
    MedIA 2023: Medical Image Analysis
  2. Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
    Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding.
    MedIA 2023: Medical Image Analysis
  3. Z Gao, Y Liu, F Wu, NN Shi, Y Shi, X Zhuang
    A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. (Oral Presentation)
    MICCAI 2023:
  4. Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas Nichols, Bartlomiej W. Papiez
    Multi-Task Cooperative Learning via Searching for Flat Minima. (Oral Presentation)
    MICCAI MedAGI workshop 2023:


  1. Fuping Wu, Xiahai Zhuang*
    Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation.
    TPAMI2022: IEEE Transactions on Pattern Analysis and Machine Intelligence
    PDF | Code
  2. Zheyao Gao, Fuping Wu, Weiguo Gao, Xiahai Zhuang *
    A New Framework of Swarm Learning Consolidating Knowledge from Multi-Center Non-IID Data for Medical Image Segmentation.
    TMI2022: IEEE Transactions on Medical Imaging
    PDF | Code
  3. Lei Li, Fuping Wu, Sihan Wang, et al. (Co-First Author )
    MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images.
    Arxiv: Arxiv
  4. Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang , Xiahai Zhuang *
    Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation.
    MICCAI2022: International Conference on Medical Image Computing and Computer-Assisted Intervention 2022
    PDF | Code
  5. Yuhan Zheng, Fuping Wu, Bartłomiej W. Papież
    An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images.
    MICCAI 2022 Challenge-DRAC: To appear in Diabetic Retinopathy Analysis Challenge (DRAC), Bin Sheng et al., MICCAI 2022 Challenge, Lecture Notes in Computer Science, Springer
    PDF | Code


  1. Fuping Wu, Xiahai Zhuang*
    Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation.
    TMI2021: IEEE Transactions on Medical Imaging
    PDF | Code
  2. Chenhao Pei , Fuping Wu,, Liqin Huang, Xiahai Zhuang*
    Disentangle domain features for cross-modality cardiac image segmentation.
    MedIA2021: Medical Image Analysis
    PDF | Code
  3. Fuping Wu, Lei Li, Xiahai Zhuang*
    Multi-modality cardiac segmentation via mixing domains for unsupervised adaptation.


  1. Fuping Wu, Xiahai Zhuang*
    CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation.
    TMI2020: IEEE Transactions on Medical Imaging
    PDF | Code
  2. Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David Firmin, Jenny Keegan, Xiahai Zhuang*
    Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework, Medical Image Analysis.
    MedIA2020: Medical Image Analysis
  3. Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Julia A. Schnabel, and Xiahai Zhuang*
    Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information.
  4. Lei Li, Guang Yang, Fuping Wu, Tom Wong, Raad Mohiaddin, David Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang*
    Atrial scarring segmentation via potential learning in the graph-cut framework.
  5. Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang*
    Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images.
    MICCAI, 2018 Medical Image Computing and Computer Assisted Intervention Society


  1. Lei Li, Fuping Wu, Sihang Wang, Xiahai Zhuang* (Co-first author)
    Multi-Modality Cardiac Image Analysis with Deep Learning. 2021, arXiv. 2111.04736.

Projects Participation

Reviewer Activities


  • 2022.06 - To date: Postdoc Researcher in Nuffield Department of Population Health, University of Oxford
  • 2017/09 -2021/07: PhD,
    Dept. Statistics, Fudan University
  • 2016/07-2017/07: Research assistant
    Shanghai Jiao Tong University
  • 2013/09 -2016/07: Master
    Dept. Applied Mathematics, Wuhan University
  • 2008/09 -2012/07: Bachelor
    Dept. Medical Laboratory Science in Tongji Medical College, Huazhong University of Science and Technology