Zeju Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 53

Top Topics

Medical Image Segmentation

Brain Tumor Segmentation

Magnetic Resonance Images

Top Venues

IEEE Trans. Medical Imaging

Publications

Zeju Li, Chao Zhang, Xiaoyan Wang, Ruilong Ren, Yifan Xu, Ruifei Ma, Xiangde Liu
3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding. CoRR (2024)
Zeju Li, Ying-Qiu Zheng, Chen Chen, Saâd Jbabdi
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning. CoRR (2024)
Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Zeju Li, Qinfan Wang, Zihan Zou, Qiao Shen, Na Xie, Hao Cai, Hao Zhang, Bo Liu
Layer-Sensitive Neural Processing Architecture for Error-Tolerant Applications. IEEE Trans. Very Large Scale Integr. Syst. 32 (5) (2024)
Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui Zhao
Multi-source Education Knowledge Graph Construction and Fusion for College Curricula. CoRR (2023)
Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. MLMI@MICCAI (2) (2023)
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (4) (2023)
Xinghan Liu, Guoshun Nan, Qimei Cui, Zeju Li, Peiyuan Liu, Zebin Xing, Hanqing Mu, Xiaofeng Tao, Tony Q. S. Quek
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. IEEE Commun. Mag. 61 (11) (2023)
Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. CoRR (2023)
Xinghan Liu, Guoshun Nan, Qimei Cui, Zeju Li, Peiyuan Liu, Zebin Xing, Hanqing Mu, Xiaofeng Tao, Tony Q. S. Quek
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. CoRR (2023)
Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. IEEE Trans. Medical Imaging 42 (11) (2023)
Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) (2023)
Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui Zhao
Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula. ICALT (2023)
Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR (2023)
Zeju Li, Xinghan Liu, Guoshun Nan, Jinfei Zhou, Xinchen Lyu, Qimei Cui, Xiaofeng Tao
Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications. ICC (2023)
Mobarakol Islam, Zeju Li, Ben Glocker
Robustness Stress Testing in Medical Image Classification. CoRR (2023)
Mobarakol Islam, Zeju Li, Ben Glocker
Robustness Stress Testing in Medical Image Classification. UNSURE@MICCAI (2023)
Bo Liu, Renyuan Zhang, Qiao Shen, Zeju Li, Na Xie, Yuanhao Wang, Chonghang Xie, Hao Cai
W-AMA: Weight-aware Approximate Multiplication Architecture for neural processing. Comput. Electr. Eng. 111 (Part A) (2023)
Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. IEEE Trans. Medical Imaging 42 (6) (2023)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42 (3) (2023)
Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI (2022)
Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022)
Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. MICCAI (8) (2022)
Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. CoRR (2022)
Mengyun Qiao, Chencheng Liu, Zeju Li, Jin Zhou, Qin Xiao, Shichong Zhou, Cai Chang, Yajia Gu, Yi Guo, Yuanyuan Wang
Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang
Tackling Long-Tailed Category Distribution Under Domain Shifts. CoRR (2022)
Zeju Li, Jinfei Zhou, Guoshun Nan, Zhichun Li, Qimei Cui, Xiaofeng Tao
SemBAT: Physical Layer Black-box Adversarial Attacks for Deep Learning-based Semantic Communication Systems. VTC Fall (2022)
Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal. 82 (2022)
Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
Improved post-hoc probability calibration for out-of-domain MRI segmentation. CoRR (2022)
Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. MICCAI (5) (2022)
Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. UNSURE@MICCAI (2022)
Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. CoRR (2022)
Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores. CoRR (2022)
Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang
Tackling Long-Tailed Category Distribution Under Domain Shifts. ECCV (23) (2022)
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation. IEEE Trans. Medical Imaging 40 (3) (2021)
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. CoRR (2021)
Zeju Li, Jinhu Yu, Yuanyuan Wang, Hanzhang Zhou, Haowei Yang, Zhongwei Qiao
DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution. IEEE Trans. Cybern. 51 (7) (2021)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR (2021)
Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021)
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation. CoRR (2021)
Han Li, Hu Han, Zeju Li, Lei Wang, Zhe Wu, Jingjing Lu, S. Kevin Zhou
High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors. IEEE Trans. Medical Imaging 39 (10) (2020)
Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou
Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. MICCAI (6) (2019)
Jiaqi Gu, Zeju Li, Yuanyuan Wang, Haowei Yang, Zhongwei Qiao, Jinhua Yu
Deep Generative Adversarial Networks for Thin-Section Infant MR Image Reconstruction. IEEE Access 7 (2019)
Zixia Zhou, Yuanyuan Wang, Jinhua Yu, Wei Guo, Zeju Li
Super-Resolution Reconstruction of Plane-Wave Ultrasound Image Based on a Multi-Angle Parallel U-Net with Maxout Unit and Novel Loss Function. J. Medical Imaging Health Informatics 9 (1) (2019)
Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou
Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. CoRR (2019)
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation. CoRR (2019)
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. MICCAI (3) (2019)
Guoqing Wu, Jixian Lin, Xi Chen, Zeju Li, Yuanyuan Wang, Jing Zhao, Jinhua Yu
Early identification of ischemic stroke in noncontrast computed tomography. Biomed. Signal Process. Control. 52 (2019)
Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion. CoRR (2018)
Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao
Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion. MICCAI (4) (2018)
Xinyi Li, Yuanyuan Wang, Wenjun Yan, Rob J. van der Geest, Zeju Li, Qian Tao
A Multi-Scope Convolutional Neural Network for Automatic Left Ventricle Segmentation from Magnetic Resonance Images: Deep-Learning at Multiple Scopes. CISP-BMEI (2018)
Zeju Li, Yuanyuan Wang, Jinhua Yu
Brain Tumor Segmentation Using an Adversarial Network. BrainLes@MICCAI (2017)
Zeju Li, Yuanyuan Wang, Jinhua Yu
Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network. MLMI@MICCAI (2017)