Dr Chen Chen
School of Computer Science
Lecturer in Computer Vision
Outreach Support
+44 114 215 8560
Full contact details
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Profile
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Dr Chen (Cherise) Chen obtained her MSc and Ph.D. degree in Advanced Computing from Imperial College London, in 2016 and 2022, respectively. From 2022, she worked as a research associate at Imperial College London. During the time at Imperial, she worked closely with and , on numerous projects with cardiac imaging. She was also a research scientist at . After that, she joined group, University of Oxford in 2023, working closely with Prof. Vicente Grau. She has engaged in a variety of projects that apply artificial intelligence to cardiac, brain, and prostate imaging.
- Research interests
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Dr. Chen's research primarily revolves around the intersection of artificial intelligence (AI) and healthcare. Her focus is particularly strong in the domains of medical multi-modal data analysis (e.g, image, signal, text) with machine learning. Her work aims to develop and validate robust, data-efficient, and reliable machine learning algorithms that can enhance the scalability of AI-driven medical data analysis in practical applications.
Please visit her for more information.
- Publications
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Show: Featured publications All publications
Featured publications
Journal articles
- . IEEE Transactions on Medical Imaging, 42(4), 1095-1106.
- . Medical Image Analysis, 82, 102597-102597.
- . Frontiers in Cardiovascular Medicine, 7.
Preprints
- M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.
All publications
Books
- . Springer Nature Switzerland.
Journal articles
- . IEEE Transactions on Big Data, 11(3), 948-960.
- . IEEE Transactions on Medical Imaging, 44(3), 1257-1272.
- . IEEE Transactions on Medical Imaging, 43(6), 2061-2073.
- . IEEE Transactions on Medical Imaging, 42(6), 1885-1896.
- . Medical Image Analysis, 88, 102861-102861.
- . IEEE Transactions on Medical Imaging, 42(4), 1095-1106.
- . Medical Image Analysis, 83, 102682-102682.
- . Medical Image Analysis, 82, 102597-102597.
- . Medical Image Analysis, 81, 102528-102528.
- . IEEE Transactions on Medical Imaging, 41(7), 1837-1848.
- . Medical Image Analysis, 67, 101832-101832.
- . European Heart Journal, 41(Supplement_2).
- . IEEE Access, 7, 37749-37756.
- . Frontiers in Cardiovascular Medicine, 7.
- . Frontiers in Cardiovascular Medicine, 7.
Book chapters
- , Lecture Notes in Computer Science (pp. 238-248). Springer Nature Switzerland
- In Cafolla D, Rittman T & Ni H (Ed.), Lecture Notes in Computer Science (pp. 279-292). Springer Cham
- In Linguraru MG, Dou Q, Feragen A, Giannarou S, Glocker B, Lekadir K & Schnabel JA (Ed.), Lecture Notes in Computer Science (pp. 359-369). Springer Nature Switzerland
- , Lecture Notes in Computer Science (pp. 296-306). Springer Nature Switzerland
Conference proceedings
- (pp 56-65)
- (pp 693-703)
- (pp 151-161)
- (pp 59-69)
- (pp 189-198)
- (pp 14-24)
- (pp 149-159)
- (pp 762-780)
- (pp 296-306)
- (pp 667-677)
- (pp 284-293)
- (pp 88-97)
- (pp 209-219)
- (pp 541-549)
- (pp 523-531)
- (pp 292-301)
Preprints
- , arXiv.
- SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality.
- CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation.
- Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.
- Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.
- M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.
- Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation.
- MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.
- Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.
- Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.
- Realistic Adversarial Data Augmentation for MR Image Segmentation.
- Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge.
- Deep learning for cardiac image segmentation: A review.
- Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.
- Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images.
- Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
- Improving the generalizability of convolutional neural network-based segmentation on CMR images.
- Multi-Task Learning for Left Atrial Segmentation on GE-MRI.
- Grants
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- Scaling Multi-Modal AI for Global Cardiac Care, Internal, 07/2025 - 06/2026, £7,000, as PI
- Advancing Cardiac Care through Multi-Modal Data Integration for Precise Scar Mapping, Royal Society, 10/2024 - 09/2025, £19,211, as PI
- Professional activities and memberships
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Professional activities and memberships
- Associate Editor for Journal of Visual Communication and Image Representation
- Lead organiser of the 3rd MICCAI Workshop on Data Augmentation, Labeling, and Imperfections (DALI), MICCAI 2023
- Co-organiser of CMRxMotion challenge in the STACOM 2022 workshop
- Member of RISE-MICCAI
- Guest lecturer in GirlsWhoML series