Le Zhang - RankMe

35 papers A* 1Journal 20Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Chain of Flow: A Foundational Generative Framework for ECG-to-4D Cardiac Digital Twins. CoRR Haofan Wu, Nay Aung, Theodoros N. Arvanitis, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2026	J	`jnl`	Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis. CoRR Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Joao A. C. Lima, Steffen E. Petersen, Daniel C. Alexander, Le Zhang
2026	J	`jnl`	MeDUET: Disentangled Unified Pretraining for 3D Medical Image Synthesis and Analysis. CoRR Junkai Liu, Ling Shao, Le Zhang
2025	—	`conf`	DiffKAN-Inpainting: KAN-Based Diffusion Model for Brain Tumor Inpainting. ISBI Tianli Tao, Ziyang Wang, Han Zhang, Theodoros N. Arvanitis, Le Zhang
2025	J	`jnl`	DiffKAN-Inpainting: KAN-based Diffusion model for brain tumor inpainting. CoRR Tianli Tao, Ziyang Wang, Han Zhang, Theodoros N. Arvanitis, Le Zhang
2025	J	`jnl`	DiffuSeg: Domain-Driven Diffusion for Medical Image Segmentation. IEEE J. Biomed. Health Informatics Le Zhang, Fuping Wu, Kevin Bronik, Bartlomiej W. Papiez
2025	—	`conf`	Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning. MLMI@MICCAI Le Zhang, Fuping Wu, Arun J. Thirunavukarasu, Kevin Bronik, Thomas E. Nichols, Bartlomiej W. Papiez
2025	J	`jnl`	Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning. CoRR Le Zhang, Fuping Wu, Arun J. Thirunavukarasu, Kevin Bronik, Thomas E. Nichols, Bartlomiej W. Papiez
2025	J	`jnl`	MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching. IEEE Trans. Medical Imaging Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez
2025	—	`conf`	RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation. MICCAI (16) Anghong Du, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2025	J	`jnl`	RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation. CoRR Anghong Du, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2025	—	`conf`	SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging. MICCAI (8) Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2025	J	`jnl`	SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging. CoRR Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang
2024	J	`jnl`	Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network. IEEE Trans. Artif. Intell. Le Zhang, Kevin Bronik, Stefan K. Piechnik, Joao A. C. Lima, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2024	J	`jnl`	Conditional advancement of machine learning algorithm via fuzzy neural network. Pattern Recognit. Kevin Bronik, Le Zhang
2024	—	`conf`	Deep Learning Ensemble for Predicting Diabetic Macular Edema Onset Using Ultra-Wide Field Color Fundus Image. DIAMOND/MARIO@MICCAI Pengyao Qin, Arun J. Thirunavukarasu, Theodoros N. Arvanitis, Le Zhang
2023	J	`jnl`	Learning from multiple annotators for medical image segmentation. Pattern Recognit. 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
2023	J	`jnl`	Learning to restore multiple image degradations simultaneously. Pattern Recognit. Le Zhang, Kevin Bronik, Bartlomiej W. Papiez
2023	J	`jnl`	Multi-Task Cooperative Learning via Searching for Flat Minima. CoRR Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez
2023	—	`conf`	Multi-task Cooperative Learning via Searching for Flat Minima. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez
2021	J	`jnl`	Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. Medical Image Anal. Yan Xia, Le Zhang, Nishant Ravikumar, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2020	A*	`conf`	Disentangling Human Error from Ground Truth in Segmentation of Medical Images. NeurIPS Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander
2020	J	`jnl`	Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. CoRR Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
2020	—	`conf`	Learning to Segment When Experts Disagree. MICCAI (1) Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander
2019	J	`jnl`	Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. IEEE Trans. Biomed. Eng. Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	J	`jnl`	High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. CoRR Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	—	`ch.`	Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	—	`conf`	Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. MICCAI (2) Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	J	`jnl`	Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. Medical Image Anal. 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
2019	—	`conf`	Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. MICCAI (2) Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2018	J	`jnl`	Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. CoRR Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2018	—	`conf`	High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. STACOM@MICCAI Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2018	—	`conf`	Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI. MICCAI (2) Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2017	—	`conf`	Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets. SASHIMI@MICCAI Le Zhang, Ali Gooya, Alejandro F. Frangi
2016	—	`conf`	Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks. SASHIMI@MICCAI Le Zhang, Ali Gooya, Bo Dong, Rui Hua, Steffen E. Petersen, Pau Medrano-Gracia, Alejandro F. Frangi