Dr. Zeju Li  
Post-Doctoral Researcher
Nuffield Department of Clinical Neurosciences,
University of Oxford,
John Radcliffe Hospital, Oxford, UK.
Zeju Li is currently a Post-Doctoral Researcher in FMRIB Analysis Group, University of Oxford, working with Prof. Saad Jbabdi. Previously, he obtained his PhD in Computing from BioMedIA Group with Prof. Ben Glocker, Imperial College London. During his PhD, he spent time in MIRACLE Group (Institute of Computing Technology) and Huawei Noah's Ark Lab (London). He got both his MSc and BSc from the Department of Electronic Engineering, Fudan University.
Zeju Li is boardly interested in medical image computing, neuroimaging and machine learning. Currently, Zeju Li is working on building AI models that can 1) operate reliably and stably (e.g. interpretability, uncertainty), 2) advance medical imaging pipelines (e.g. reconstruction, segmentation) 3) and eventually enhance our understanding of brain functions (e.g. fMRI, dMRI).
Actively looking for collabrations on medical image analysis! Please get in touch for brainstorms and discussions!
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation,
Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker.
IEEE Transactions on Medical Imaging, 2023.
Context Label Learning: Improving Background Class Representations in Semantic Segmentation,
Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker.
IEEE Transactions on Medical Imaging, 2023.
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores,
Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation,
Zeju Li, Konstantinos Kamnitsas, Ben Glocker.
IEEE Transactions on Medical Imaging, 2020.
Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition,
Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, S. Kevin Zhou.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution,
Zeju Li, Jinhua Yu, Yuanyuan Wang, Hanzhang Zhou, Haowei Yang, Zhongwei Qiao.
IEEE Transactions on Cybernetics, 2019.
- Area Chair:
- International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024.
- Journal Reviewer:
- IEEE Transactions on Medical Imaging;
- Medical Image Analaysis; ...
- MICCAI;
- The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR);
- The AAAI Conference on Artificial Intelligence (AAAI); ...
- Teaching Assistant at Imperial College London:
- Machine Learning for Imaging;
- Reinforcement Learning;
- Mathematics for Machine Learning;
- Graphics;
- Computer Vision.
- Teaching Assistant at Fudan University:
- Signal Processing;
- Circuit Laboratory.
- AI Alignment in Medical Image Segmentation: Model-Fitting, Robustness and Reassurance [Slides]
- [Mar 2024] Weill Cornell Medicine, Cornell University
- [Dec 2023] Institude of Science and Technology for Brain-Inspired Intelligence, Fudan University
- Learning Strategies for Improving Neural Networks for Image Segmentation under Class Imbalance [Slides]
- [July 2023] FMRIB Analysis Group, Oxford University
- [Nov 2022] Suzhou Institue for Advanced Research, University of Science and Technology of China
- [Aug 2022] BMIC Group, ETH Zurich
- Improving the Generalization Capability for Medical Image Segmentation [Slides]
- [May 2020] MIRACLE Group, Institude of Computing Technology
- Deep Learning in Medical Imaging: To Integrate more Knowledge [Slides]
- [July 2019] Computer Vision Group, Huawei Noah's Ark Lab (London)
- [Mar 2019] BioMedIA Group, Imperial College London
- Huawei Image Denoising Challenge 2018 [Slides]
- Huawei UK AI Challenge Award Ceremony, British Museum
- I enjoy building beautiful things, such as photography, calligraphy and making videos.
- This is a picture I took while traveling around Morro Bay.