Publications
For a full list of our publications, please refer to my Google Scholar profile.
Selected Publications
2025
CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation
AIiH 2025 Best Paper
Farheen Ramzan, Yusuf Kiberu, Nikesh Jathanna, Shahnaz Jamil-Copley, Richard H. Clayton*, Chen Chen*
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
Medical Image Analysis
Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen*, Daniel Rueckert*, and Jiazhen Pan*
SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality
ICCV 2025
Sijie Li, Chen Chen*, Jungong Han*
Foundation-Model-Boosted Multimodal Learning for fMRI-Based Neuropathic Pain Drug Response Prediction
MICCAI 2025
Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang, Chen Chen*, Haiping Lu*, Kevin Teh, Dinesh Selvarajah, Shuo Zhou*
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
MICCAI 2025
Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang & Daniel Rueckert
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction
IEEE Transaction on Big Data, 2025
Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau.
2024
Whole Heart 3D+ T Representation Learning Through Sparse 2D Cardiac MR Images
MICCAI 2024 (oral, short-listed for young scientist award)
Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection
MICCAI 2024
Mohammod NI Suvon, Prasun C Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J Swift, Chen Chen, Haiping Lu
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations
IEEE trans on Medical Imaging (2024)
Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M.Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert and Martin J. Menten
2023
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
MICCAI 2023, BTSD workshop (oral)
Jingjie Guo, Weitong Zhang, Matthew Sinclair, Daniel Rueckert, Chen Chen
2022
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai & Daniel Rueckert
MICCAI 2022 (early accept)
AdvChain: Enhancing MR image segmentation with realistic adversarial data augmentation
Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Medical Image Analysis (2022)
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
ECCV 2022
2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
MICCAI 2021 (oral)
2020
Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI
Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
MICCAI 2020
AdvBias: Realistic Adversarial Data Augmentation for MR Image Segmentation
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
MICCAI 2020 (Oral)
Deep learning for cardiac image segmentation: a review
Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert
Frontiers in Cardiovascular Medicine (2020)
× ![Expanded Image]()
