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ORCIDLe Zhang 0005
Person information
- affiliation: University College London, London, UK
- affiliation (former): University of Sheffield, Centre for Computational Imaging and Simulation Technologies in Biomedicine, UK
Other persons with the same name
- Le Zhang — disambiguation page
- Le Zhang 0001
![[0000-0002-6930-8674]](/web/20180317132104*/https://developer.android.com/reference/java/sql/package-https-dblp.org/img/orcid-mark.12x12.png "0000-0002-6930-8674")
— University of Electronic Science and Technology of China, UESTC, School of Information and Communication Engineering, Chengdu, China (and 3 more) - Le Zhang 0002 — Raytheon BBN Technologies, Cambridge, MA, USA
- Le Zhang 0003 — Xi'an Jiaotong University, State Key Laboratory of Electrical Insualtion and Power Equipment, China (and 1 more)
- Le Zhang 0004 — Sichuan University, College of Computer Science, Chengdu, China (and 1 more)
- Le Zhang 0006 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Le Zhang 0007 — Shenyang University, School of Information Engineering, China
- Le Zhang 0008 — Xi'an Jiaotong University, School of Aerospace, China
- Le Zhang 0010 — Baidu Inc., China (and 1 more)
- Le Zhang 0011 — Xi'an Jiaotong University, School of Mechanical Engineering, China
- Le Zhang 0012 — Mila - Quebec AI Institute, Canada
- Le Zhang 0013 — Yale University, School of Medicine, Department of Neuroscience, New Haven, CT, USA
- Le Zhang 0014 — South China University of Technology, School of Electric Power Engineering, Guangzhou, China
- Le Zhang 0015 — Beijing Electronic Science and Technology Institute, Department of Cybersecurity, China
- Le Zhang 0016 — Harbin Institute of Technology, Department of Computer Science and Technology, Shenzhen, China
- Le Zhang 0017 — Beijing Jiaotong University, Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Laboratory of National Economic Security Early-warning Engineering, China
- Le Zhang 0018 — Zhejiang Gongshang University, College of Statistics and Mathematics, Hangzhou, China
- Le Zhang 0019 — Wuxi Taihu University, Jiangsu International Cooperation Laboratory of 6G Network and Big Data Intelligent Application, China (and 1 more)
- Le Zhang 0020 — Harbin Institute of Technology, State Key Laboratory of Robotics and Systems, China
- Le Zhang 0021 — University of Michigan, Ann Arbor, MI, USA (and 2 more)
- Le Zhang 0022 — University of California Riverside, Department of Botanya and Plant Sciences, CA, USA
- Le Zhang 0023 — Qingdao University, Qingdao Municipal Hospital, Department of Radiology, China
Other persons with a similar name
- Guang-Le Zhang
- Han-Le Zhang
- Jiale Zhang (aka: Jia-Le Zhang) — disambiguation page
- Le-Bing Zhang (aka: Lebing Zhang) — disambiguation page
- Le-Le Zhang
- Le-Min Zhang
- Le Peng Zhang
- Qing-le Zhang
- Qing Le Zhang
- Shi-Le Zhang
- show all similar names
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2020 – today
- 2026
[j10]Junkai Liu, Le Zhang, Yijie Ding, Prayag Tiwari, Xiaoyi Guo, Weiping Ding:
Interpretable and Adaptive Graph Contrastive Learning With Information Sharing for Biomedical Link Prediction. IEEE Trans. Emerg. Top. Comput. Intell. 10(3): 2332-2347 (2026)- [i12]Junkai Liu, Ling Shao, Le Zhang:
MeDUET: Disentangled Unified Pretraining for 3D Medical Image Synthesis and Analysis. CoRR abs/2602.17901 (2026) - [i11]Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Joao A. C. Lima, Steffen E. Petersen, Daniel C. Alexander, Le Zhang:
Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis. CoRR abs/2602.18400 (2026) - [i10]Haofan Wu, Nay Aung, Theodoros N. Arvanitis, Joao A. C. Lima, Steffen E. Petersen, Le Zhang:
Chain of Flow: A Foundational Generative Framework for ECG-to-4D Cardiac Digital Twins. CoRR abs/2602.22919 (2026) - [i9]Kedi Sun, Chaohui Dang, Yue Feng, James Glasbey, Theodoros N. Arvanitis, Le Zhang:
Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation. CoRR abs/2605.11208 (2026) - 2025
- [j9]Le Zhang, Fuping Wu, Kevin Bronik, Bartlomiej W. Papiez:
DiffuSeg: Domain-Driven Diffusion for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 29(5): 3619-3631 (2025) - [j8]Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez:
MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching. IEEE Trans. Medical Imaging 44(4): 1648-1658 (2025) - [c14]Tianli Tao, Ziyang Wang, Han Zhang, Theodoros N. Arvanitis, Le Zhang:
DiffKAN-Inpainting: KAN-Based Diffusion Model for Brain Tumor Inpainting. ISBI 2025: 1-4 - [c13]Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang:
SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging. MICCAI (8) 2025: 457-466 - [c12]Anghong Du, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang:
RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation. MICCAI (16) 2025: 460-469 - [c11]Le Zhang, Fuping Wu, Arun James Thirunavukarasu, Kevin Bronik, Thomas E. Nichols, Bartlomiej W. Papiez:
Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning. MLMI@MICCAI 2025: 234-244 - [i8]Tianli Tao, Ziyang Wang, Han Zhang, Theodoros N. Arvanitis, Le Zhang:
DiffKAN-Inpainting: KAN-based Diffusion model for brain tumor inpainting. CoRR abs/2502.16771 (2025) - [i7]Anghong Du, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang:
RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation. CoRR abs/2508.02844 (2025) - [i6]Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang:
SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging. CoRR abs/2508.07041 (2025) - [i5]Le Zhang, Fuping Wu, Arun James Thirunavukarasu, Kevin Bronik, Thomas E. Nichols, Bartlomiej W. Papiez:
Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning. CoRR abs/2508.18186 (2025) - 2024
- [j7]Kevin Bronik, Le Zhang:
Conditional advancement of machine learning algorithm via fuzzy neural network. Pattern Recognit. 155: 110732 (2024) - [j6]Le Zhang, Kevin Bronik, Stefan K. Piechnik, Joao A. C. Lima, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network. IEEE Trans. Artif. Intell. 5(9): 4738-4752 (2024) - [c10]Pengyao Qin, Arun James Thirunavukarasu, Theodoros N. Arvanitis, Le Zhang:
Deep Learning Ensemble for Predicting Diabetic Macular Edema Onset Using Ultra-Wide Field Color Fundus Image. DIAMOND/MARIO@MICCAI 2024: 64-73 - 2023
- [j5]Le Zhang, Kevin Bronik, Bartlomiej W. Papiez:
Learning to restore multiple image degradations simultaneously. Pattern Recognit. 136: 109250 (2023) - [j4]Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander:
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138: 109400 (2023) - [c9]Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez:
Multi-task Cooperative Learning via Searching for Flat Minima. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 171-181 - [i4]Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez:
Multi-Task Cooperative Learning via Searching for Flat Minima. CoRR abs/2309.12090 (2023) - 2021
- [j3]Yan Xia, Le Zhang, Nishant Ravikumar, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. Medical Image Anal. 67: 101812 (2021) - 2020
- [c8]Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander:
Learning to Segment When Experts Disagree. MICCAI (1) 2020: 179-190 - [c7]Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander:
Disentangling Human Error from Ground Truth in Segmentation of Medical Images. NeurIPS 2020 - [i3]Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander:
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. CoRR abs/2007.15963 (2020)
2010 – 2019
- 2019
- [j2]Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Milton Hoz de Vila, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. Medical Image Anal. 56: 26-42 (2019) - [j1]Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. IEEE Trans. Biomed. Eng. 66(7): 1975-1986 (2019) - [c6]Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. MICCAI (2) 2019: 651-659 - [c5]Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. MICCAI (2) 2019: 660-668 - [p1]Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 299-321 - [i2]Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. CoRR abs/1901.03326 (2019) - 2018
- [c4]Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. STACOM@MICCAI 2018: 114-121 - [c3]Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI. MICCAI (2) 2018: 481-489 - [i1]Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. CoRR abs/1811.02688 (2018) - 2017
- [c2]Le Zhang, Ali Gooya, Alejandro F. Frangi:
Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets. SASHIMI@MICCAI 2017: 61-68 - 2016
- [c1]Le Zhang, Ali Gooya, Bo Dong, Rui Hua, Steffen E. Petersen, Pau Medrano-Gracia, Alejandro F. Frangi:
Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks. SASHIMI@MICCAI 2016: 138-145
Coauthor Index
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last updated on 2026-06-20 00:21 CEST by the dblp team
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