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Zeju Li
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2020 – today
- 2024
- [j18]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): 28:1-28:34 (2024) - [j17]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): 797-809 (2024) - [i18]Zeju Li, Chao Zhang, Xiaoyan Wang, Ruilong Ren, Yifan Xu, Ruifei Ma, Xiangde Liu:
3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding. CoRR abs/2401.03201 (2024) - [i17]Zeju Li, Ying-Qiu Zheng, Chen Chen, Saâd Jbabdi:
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning. CoRR abs/2407.05370 (2024) - 2023
- [j16]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): 108921 (2023) - [j15]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): 56-62 (2023) - [j14]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): 697-712 (2023) - [j13]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): 1095-1106 (2023) - [j12]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): 1885-1896 (2023) - [j11]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): 3323-3335 (2023) - [c17]Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui Zhao:
Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula. ICALT 2023: 359-363 - [c16]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: 5614-5619 - [c15]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: 67-77 - [c14]Mobarakol Islam
, Zeju Li, Ben Glocker:
Robustness Stress Testing in Medical Image Classification. UNSURE@MICCAI 2023: 167-176 - [c13]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: 253-263 - [i16]Zeju Li, Linya Cheng, Chunhong Zhang, Xinning Zhu, Hui Zhao:
Multi-source Education Knowledge Graph Construction and Fusion for College Curricula. CoRR abs/2305.04567 (2023) - [i15]Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker:
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR abs/2305.19084 (2023) - [i14]Mobarakol Islam, Zeju Li, Ben Glocker:
Robustness Stress Testing in Medical Image Classification. CoRR abs/2308.06889 (2023) - [i13]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 abs/2308.16735 (2023) - [i12]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 abs/2309.01386 (2023) - 2022
- [j10]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: 102597 (2022) - [j9]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) - [j8]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): 3059-3067 (2022) - [c12]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: 727-743 - [c11]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: 59-69 - [c10]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: 123-133 - [c9]Chen Chen
, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert:
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. MICCAI (5) 2022: 151-161 - [c8]Zeju Li, Konstantinos Kamnitsas
, Mobarakol Islam
, Chen Chen
, Ben Glocker:
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. MICCAI (8) 2022: 693-703 - [c7]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: 1-5 - [i11]Chen Chen
, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert:
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. CoRR abs/2206.01737 (2022) - [i10]Zeju Li, Konstantinos Kamnitsas
, Mobarakol Islam
, Chen Chen
, Ben Glocker:
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores. CoRR abs/2207.09957 (2022) - [i9]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 abs/2207.10150 (2022) - [i8]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 abs/2208.02870 (2022) - [i7]Zeju Li, Konstantinos Kamnitsas
, Cheng Ouyang, Chen Chen
, Ben Glocker:
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. CoRR abs/2212.08423 (2022) - 2021
- [j7]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) - [j6]Zeju Li
, Jinhua 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): 3441-3454 (2021) - [j5]Zeju Li
, Konstantinos Kamnitsas
, Ben Glocker
:
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation. IEEE Trans. Medical Imaging 40(3): 1065-1077 (2021) - [i6]Zeju Li, Konstantinos Kamnitsas, Ben Glocker:
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation. CoRR abs/2102.10365 (2021) - [i5]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 abs/2111.12525 (2021) - [i4]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 abs/2112.04489 (2021) - 2020
- [j4]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): 3053-3063 (2020)
2010 – 2019
- 2019
- [j3]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: 68290-68304 (2019) - [j2]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: 41-52 (2019) - [j1]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): 109-118 (2019) - [c6]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: 275-283 - [c5]Zeju Li, Konstantinos Kamnitsas
, Ben Glocker:
Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. MICCAI (3) 2019: 402-410 - [i3]Zeju Li, Konstantinos Kamnitsas, Ben Glocker:
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation. CoRR abs/1907.10982 (2019) - [i2]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 abs/1909.12922 (2019) - 2018
- [c4]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: 1-5 - [c3]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: 613-621 - [i1]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 abs/1810.08753 (2018) - 2017
- [c2]Zeju Li, Yuanyuan Wang, Jinhua Yu:
Brain Tumor Segmentation Using an Adversarial Network. BrainLes@MICCAI 2017: 123-132 - [c1]Zeju Li, Yuanyuan Wang, Jinhua Yu:
Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network. MLMI@MICCAI 2017: 325-333
Coauthor Index
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last updated on 2024-08-14 22:18 CEST by the dblp team
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