Multi-task Learning for Left Atrial Segmentation on GE-MRI. - Chen Chen 042; Wenjia Bai; Daniel Rueckert (STACOM@MICCAI, 2018)

Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. - Chen Chen 042; Carlo Biffi; Giacomo Tarroni; Steffen E. Petersen; Wenjia Bai; Daniel Rueckert (MICCAI (2), 2019)

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. - Chen Chen 042; Cheng Ouyang; Giacomo Tarroni; Jo Schlemper; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (STACOM@MICCAI, 2019)

Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. - Wenjia Bai; Chen Chen 042; Giacomo Tarroni; Jinming Duan 001; Florian Guitton; Steffen E. Petersen; Yike Guo; Paul M. Matthews; Daniel Rueckert (MICCAI (2), 2019)

Automatic Cardiothoracic Ratio Calculation With Deep Learning. - Zhennan Li; Zhihui Hou; Chen Chen 042; Zhi Hao; Yunqiang An; Sen Liang; Bin Lu (IEEE Access, 2019)

Improving the generalizability of convolutional neural network-based segmentation on CMR images. - Chen Chen 042; Wenjia Bai; Rhodri H. Davies; Anish N. Bhuva; Charlotte Manisty; James C. Moon; Nay Aung; Aaron M. Lee; Mihir M. Sanghvi; Kenneth Fung; José Miguel Paiva; Steffen E. Petersen; et al. (CoRR, 2019)

Deep learning for cardiac image segmentation: A review. - Chen Chen 042; Chen Qin; Huaqi Qiu; Giacomo Tarroni; Jinming Duan 001; Wenjia Bai; Daniel Rueckert (CoRR, 2019)

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (ECCV (29), 2020)

Realistic Adversarial Data Augmentation for MR Image Segmentation. - Chen Chen 042; Chen Qin; Huaqi Qiu; Cheng Ouyang; Shuo Wang 011; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (MICCAI (1), 2020)

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. - Esther Puyol-Antón; Chen Chen 042; James R. Clough; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Daniel Rueckert; Christopher A. Rinaldi; Andrew P. King (MICCAI (1), 2020)

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. - Chen Qin; Shuo Wang 011; Chen Chen 042; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (MICCAI (3), 2020)

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. - Shuo Wang 011; Giacomo Tarroni; Chen Qin; Yuanhan Mo; Chengliang Dai; Chen Chen 042; Ben Glocker; Yike Guo; Daniel Rueckert; Wenjia Bai (MICCAI (4), 2020)

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. - Zhaohan Xiong; Qing Xia 002; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng 001; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang 009; Pheng-Ann Heng; Dong Ni 001; et al. (CoRR, 2020)

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. - Chen Chen 042; Kerstin Hammernik; Cheng Ouyang; Chen Qin; Wenjia Bai; Daniel Rueckert (MICCAI (3), 2021)

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. - Shuo Wang 011; Chen Qin; Nicoló Savioli; Chen Chen 042; Declan P. O'Regan; Stuart A. Cook; Yike Guo; Daniel Rueckert; Wenjia Bai (MICCAI (3), 2021)

Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. - Tareen Dawood; Chen Chen 042; Robin Andlauer; Baldeep S. Sidhu; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; C. Aldo Rinaldi; Esther Puyol-Antón; Reza Razavi; et al. (STACOM@MICCAI, 2021)

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (CoRR, 2021)

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. - Chen Chen 042; Zeju Li; Cheng Ouyang; Matthew Sinclair; Wenjia Bai; Daniel Rueckert (MICCAI (5), 2022)

Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. - Zeju Li; Konstantinos Kamnitsas; Mobarakol Islam; Chen Chen 042; Ben Glocker (MICCAI (8), 2022)

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. - Cheng Ouyang; Shuo Wang 011; Chen Chen 042; Zeju Li; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (UNSURE@MICCAI, 2022)

Embedding Gradient-Based Optimization in Image Registration Networks. - Huaqi Qiu; Kerstin Hammernik; Chen Qin; Chen Chen 042; Daniel Rueckert (MICCAI (6), 2022)

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). - Shuo Wang 011; Chen Qin; Chengyan Wang; Kang Wang 004; Haoran Wang 009; Chen Chen 042; Cheng Ouyang; Xutong Kuang; Chengliang Dai; Yuanhan Mo; Zhang Shi; Chenchen Dai; et al. (CoRR, 2022)

Enhancing MR image segmentation with realistic adversarial data augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Zeju Li; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Self-Supervised Learning for Few-Shot Medical Image Segmentation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. - Che Liu; Sibo Cheng; Chen Chen 042; Mengyun Qiao; Weitong Zhang; Anand Shah; Wenjia Bai; Rossella Arcucci (MICCAI (1), 2023)

Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs. - Linus Kreitner; Johannes C. Paetzold; Nikolaus Rauch; Chen Chen 042; Ahmed M. Hagag; Alaa E. Fayed; Sobha Sivaprasad; Sebastian Rausch; Julian Weichsel; Bjoern H. Menze; Matthias Harders; Benjamin Knier; et al. (CoRR, 2023)

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation. - Jingjie Guo; Weitong Zhang; Matthew Sinclair; Daniel Rueckert; Chen Chen 042 (CoRR, 2023)

Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. - Tareen Dawood; Chen Chen 042; Baldeep S. Sidhua; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Esther Puyol-Antón; Reza Razavi; Andrew P. King (CoRR, 2023)

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. - Chen Qin; Shuo Wang 011; Chen Chen 042; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2023)

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. - Cheng Ouyang; Chen Chen 042; Surui Li; Zeju Li; Chen Qin; Wenjia Bai; Daniel Rueckert (IEEE Trans. Medical Imaging, 2023)

Context Label Learning: Improving Background Class Representations in Semantic Segmentation. - Zeju Li; Konstantinos Kamnitsas; Cheng Ouyang; Chen Chen 042; Ben Glocker (IEEE Trans. Medical Imaging, 2023)

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. - Tareen Dawood; Chen Chen 042; Baldeep S. Sidhu; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Esther Puyol-Antón; Reza Razavi; Andrew P. King (Medical Image Anal., 2023)

Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection. - Mohammod Naimul Islam Suvon; Prasun C. Tripathi; Wenrui Fan; Shuo Zhou; Xianyuan Liu; Samer Alabed; Venet Osmani; Andrew J. Swift; Chen Chen 042; Haiping Lu (MICCAI (1), 2024)

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. - Yundi Zhang; Chen Chen 042; Suprosanna Shit; Sophie Starck; Daniel Rueckert; Jiazhen Pan (MICCAI (1), 2024)

MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment. - Wenrui Fan; Mohammod Naimul Islam Suvon; Shuo Zhou; Xianyuan Liu; Samer Alabed; Venet Osmani; Andrew J. Swift; Chen Chen 042; Haiping Lu (CoRR, 2024)

Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning. - Zeju Li; Ying-Qiu Zheng; Chen Chen 042; Saâd Jbabdi (CoRR, 2024)

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations. - Linus Kreitner; Johannes C. Paetzold; Nikolaus Rauch; Chen Chen 042; Ahmed M. Hagag; Alaa E. Fayed; Sobha Sivaprasad; Sebastian Rausch; Julian Weichsel; Bjoern H. Menze; Matthias Harders; Benjamin Knier; et al. (IEEE Trans. Medical Imaging, 2024)

Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond. - Yundi Zhang; Paul Hager; Che Liu; Suprosanna Shit; Chen Chen 042; Daniel Rueckert; Jiazhen Pan (Medical Image Anal., 2025)

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. - Jiazhen Pan; Che Liu; Junde Wu; Fenglin Liu; Jiayuan Zhu; Hongwei Bran Li; Chen Chen 042; Cheng Ouyang; Daniel Rueckert (CoRR, 2025)

Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction. - Wenrui Fan; L. M. Riza Rizky; Jiayang Zhang; Chen Chen 042; Haiping Lu; Kevin Teh; Dinesh Selvarajah; Shuo Zhou (CoRR, 2025)

Multimodal Lead-Specific Modeling of ECG for Low-Cost Pulmonary Hypertension Assessment. - Md. Naimul Islam Suvon; Shuo Zhou; Prasun C. Tripathi; Wenrui Fan; Samer Alabed; Bishesh Khanal; Venet Osmani; Andrew J. Swift; Chen Chen 042; Haiping Lu (CoRR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Towards deployment-centric multimodal AI beyond vision and language. - Xianyuan Liu; Jiayang Zhang; Shuo Zhou; Thijs L. van der Plas; Avish Vijayaraghavan; Anastasiia Grishina; Mengdie Zhuang; Daniel Schofield; Christopher Tomlinson; Yuhan Wang; Ruizhe Li; Louisa van Zeeland; et al. (CoRR, 2025)

Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction. - Chen Chen 042; Lei Li 020; Marcel Beetz; Abhirup Banerjee; Ramneek Gupta; Vicente Grau (IEEE Trans. Big Data, 2025)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang 004; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. - Jiazhen Pan; Bailiang Jian; Paul Hager; Yundi Zhang; Che Liu; Friederike Jungmann; Hongwei Bran Li; Chenyu You; Junde Wu; Jiayuan Zhu; Fenglin Liu; Yuyuan Liu; et al. (CoRR, 2025)