Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks. - Le Zhang 005; Ali Gooya; Bo Dong 001; Rui Hua; Steffen E. Petersen; Pau Medrano-Gracia; Alejandro F. Frangi (SASHIMI@MICCAI, 2016)

Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets. - Le Zhang 005; Ali Gooya; Alejandro F. Frangi (SASHIMI@MICCAI, 2017)

High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. - Rahman Attar; Marco Pereañez; Ali Gooya; Xènia Albà; Le Zhang 005; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (STACOM@MICCAI, 2018)

Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI. - Le Zhang 005; Marco Pereañez; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (MICCAI (2), 2018)

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. - Le Zhang 005; Ali Gooya; Marco Pereañez; Bo Dong 001; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (CoRR, 2018)

Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging. - Le Zhang 005; Marco Pereañez; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. - Le Zhang 005; Marco Pereañez; Christopher Bowles; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (MICCAI (2), 2019)

Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. - Le Zhang 005; Marco Pereañez; Christopher Bowles; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (MICCAI (2), 2019)

Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. - Rahman Attar; Marco Pereañez; Ali Gooya; Xènia Albà; Le Zhang 005; Milton Hoz de Vila; Aaron M. Lee; Nay Aung; Elena Lukaschuk; Mihir M. Sanghvi; Kenneth Fung; José Miguel Paiva; et al. (Medical Image Anal., 2019)

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. - Le Zhang 005; Ali Gooya; Marco Pereañez; Bo Dong 001; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (IEEE Trans. Biomed. Eng., 2019)

Learning to Segment When Experts Disagree. - Le Zhang 005; Ryutaro Tanno; Kevin Bronik; Chen Jin; Parashkev Nachev; Frederik Barkhof; Olga Ciccarelli; Daniel C. Alexander (MICCAI (1), 2020)

Disentangling Human Error from Ground Truth in Segmentation of Medical Images. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Chen Jin; Joseph Jacob; Olga Cicarrelli; Frederik Barkhof; Daniel C. Alexander (NeurIPS, 2020)

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. - Le Zhang 005; Ryutaro Tanno; Mou-Cheng Xu; Chen Jin; Joseph Jacob; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (CoRR, 2020)

Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. - Yan Xia 002; Le Zhang 005; Nishant Ravikumar; Rahman Attar; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

Multi-task Cooperative Learning via Searching for Flat Minima. - Fuping Wu; Le Zhang 005; Yang Sun 003; Yuanhan Mo; Thomas E. Nichols; Bartlomiej W. Papiez (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Learning to restore multiple image degradations simultaneously. - Le Zhang 005; Kevin Bronik; Bartlomiej W. Papiez (Pattern Recognit., 2023)

Learning from multiple annotators for medical image segmentation. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Yawen Huang; Kevin Bronik; Chen Jin; Joseph Jacob; Yefeng Zheng 001; Ling Shao 001; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (Pattern Recognit., 2023)

Deep Learning Ensemble for Predicting Diabetic Macular Edema Onset Using Ultra-Wide Field Color Fundus Image. - Pengyao Qin; Arun J. Thirunavukarasu; Theodoros N. Arvanitis; Le Zhang 005 (DIAMOND/MARIO@MICCAI, 2024)

Conditional advancement of machine learning algorithm via fuzzy neural network. - Kevin Bronik; Le Zhang 005 (Pattern Recognit., 2024)

Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network. - Le Zhang 005; Kevin Bronik; Stefan K. Piechnik; Joao A. C. Lima; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (IEEE Trans. Artif. Intell., 2024)

DiffKAN-Inpainting: KAN-Based Diffusion Model for Brain Tumor Inpainting. - Tianli Tao; Ziyang Wang; Han Zhang; Theodoros N. Arvanitis; Le Zhang 005 (ISBI, 2025)

MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching. - Fuping Wu; Le Zhang 005; Yang Sun 003; Yuanhan Mo; Thomas E. Nichols; Bartlomiej W. Papiez (IEEE Trans. Medical Imaging, 2025)

DiffuSeg: Domain-Driven Diffusion for Medical Image Segmentation. - Le Zhang 005; Fuping Wu; Kevin Bronik; Bartlomiej W. Papiez (IEEE J. Biomed. Health Informatics, 2025)

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation. - Anghong Du; Nay Aung; Theodoros N. Arvanitis; Stefan K. Piechnik; Joao A. C. Lima; Steffen E. Petersen; Le Zhang 005 (CoRR, 2025)