Fuping Wu

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.

Publications

2023

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
   PDF
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
   PDF
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:
   PDF
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:
   PDF

2022

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
   PDF
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

2021

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.
   MICCAI-STACOM 2021
   PDF

2020-2018

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
   PDF
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.
   MICCAI-STACOM 2020
   PDF
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.
   MICCAI-STACOM 2018
   PDF
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
   PDF

E-Preprint

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

Projects Participation

• Co-organized a MICCAI 2022 Challenge: LAScarQS 2022 : Left Atrial and Scar Quantification & Segmentation Challenge
• Methodologies and applications of combined segmentation of multimodality cardiac images based on multivariate mixture model, National Natural Science Foundation of China; No. 61971142, 2020/01-2023/12, Participation (Directed by Prof. Xiahai Zhuang, Fudan University)
• Subgroup analysis in high dimensional data based on Bayesian method, National Natural Science Foundation of China; No. 11871165, 2019/01-2022/12, Participation (Directed by Juan Shen, Fudan University)
• Participated in the organization of the challenge- MyoPS 2020: Myocardial pathology segmentation combining multi-sequence CMR, in MICCAI 2020.

Reviewer Activities

• Neurocomputing: 2020 - to date.
• Medical Image Analysis : 2021- to date.
• IEEE Transactions on Medical Imaging : 2021- to date.
• IEEE Journal of Biomedical and Health Informatics : 2023.04- to date.
• ISBI 2022
• MICCAI 2023