Zeju Li

According to our database, Zeju Li authored at least 35 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding.

Zeju Li, Chao Zhang, Xiaoyan Wang, Ruilong Ren, Yifan Xu, Ruifei Ma, Xiangde Liu

CoRR, 2024

2023

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.

Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker

IEEE Trans. Medical Imaging, November, 2023

SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems.

Xinghan Liu, Guoshun Nan, Qimei Cui, Zeju Li, Peiyuan Liu, Zebin Xing, Hanqing Mu, Xiaofeng Tao, Tony Q. S. Quek

IEEE Commun. Mag., November, 2023

W-AMA: Weight-aware Approximate Multiplication Architecture for neural processing.

Bo Liu, Renyuan Zhang, Qiao Shen, Zeju Li, Na Xie, Yuanhao Wang, Chonghang Xie, Hao Cai

Comput. Electr. Eng., October, 2023

Context Label Learning: Improving Background Class Representations in Semantic Segmentation.

Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker

IEEE Trans. Medical Imaging, June, 2023

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.

Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert

IEEE Trans. Medical Imaging, April, 2023

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.

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

IEEE Trans. Medical Imaging, March, 2023

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment.

Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Robust Segmentation via Topology Violation Detection and Feature Synthesis.

Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robustness Stress Testing in Medical Image Classification.

Mobarakol Islam, Zeju Li, Ben Glocker

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications.

Zeju Li, Xinghan Liu, Guoshun Nan, Jinfei Zhou, Xinchen Lyu, Qimei Cui, Xiaofeng Tao

Proceedings of the IEEE International Conference on Communications, 2023

Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula.

Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui Zhao

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

2022

Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features.

Mengyun Qiao, Chencheng Liu, Zeju Li, Jin Zhou, Qin Xiao, Shichong Zhou, Cai Chang, Yajia Gu, Yi Guo, Yuanyuan Wang

IEEE J. Biomed. Health Informatics, 2022

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.

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

npj Digit. Medicine, 2022

Enhancing MR image segmentation with realistic adversarial data augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 2022

SemBAT: Physical Layer Black-box Adversarial Attacks for Deep Learning-based Semantic Communication Systems.

Zeju Li, Jinfei Zhou, Guoshun Nan, Zhichun Li, Qimei Cui, Xiaofeng Tao

Proceedings of the 96th Vehicular Technology Conference, 2022

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.

Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.

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

Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.

Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.

Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Tackling Long-Tailed Category Distribution Under Domain Shifts.

Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation.

Zeju Li, Konstantinos Kamnitsas, Ben Glocker

IEEE Trans. Medical Imaging, 2021

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 Trans. Cybern., 2021

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.

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

npj Digit. Medicine, 2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

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

CoRR, 2021

2020

High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors.

Han Li, Hu Han, Zeju Li, Lei Wang, Zhe Wu, Jingjing Lu, S. Kevin Zhou

IEEE Trans. Medical Imaging, 2020

2019

Super-Resolution Reconstruction of Plane-Wave Ultrasound Image Based on a Multi-Angle Parallel U-Net with Maxout Unit and Novel Loss Function.

Zixia Zhou, Yuanyuan Wang, Jinhua Yu, Wei Guo, Zeju Li

J. Medical Imaging Health Informatics, 2019

Early identification of ischemic stroke in noncontrast computed tomography.

Guoqing Wu, Jixian Lin, Xi Chen, Zeju Li, Yuanyuan Wang, Jing Zhao, Jinhua Yu

Biomed. Signal Process. Control., 2019

Deep Generative Adversarial Networks for Thin-Section Infant MR Image Reconstruction.

Jiaqi Gu, Zeju Li, Yuanyuan Wang, Haowei Yang, Zhongwei Qiao, Jinhua Yu

IEEE Access, 2019

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition.

Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation.

Zeju Li, Konstantinos Kamnitsas, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion.

Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Multi-Scope Convolutional Neural Network for Automatic Left Ventricle Segmentation from Magnetic Resonance Images: Deep-Learning at Multiple Scopes.

Xinyi Li, Yuanyuan Wang, Wenjun Yan, Rob J. van der Geest, Zeju Li, Qian Tao

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017

Brain Tumor Segmentation Using an Adversarial Network.

Zeju Li, Yuanyuan Wang, Jinhua Yu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network.

Zeju Li, Yuanyuan Wang, Jinhua Yu

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017