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Dr Chen Chen

Lecturer · School of Computer Science Regent Court

University of Sheffield · United Kingdom
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About

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 Prof. Daniel Rueckert and Dr. Wenjia Bai, on numerous projects with cardiac imaging. She was also a research scientist at HeartFlow. After that, she joined Oxford BioMedIA 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.

Selected publications

  • Ouyang C, Chen C, Li S, Li Z, Qin C, Bai W & Rueckert D (2023) Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Transactions on Medical Imaging, 42(4), 1095-1106.
  • Chen C, Qin C, Ouyang C, Li Z, Wang S, Qiu H, Chen L, Tarroni G, Bai W & Rueckert D (2022) Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Analysis, 82, 102597-102597.
  • Chen C, Qin C, Qiu H, Tarroni G, Duan J, Bai W & Rueckert D () Deep Learning for Cardiac Image Segmentation: A Review. Frontiers in Cardiovascular Medicine, 7.
  • Liu C, Cheng S, Chen C, Qiao M, Zhang W, Shah A, Bai W & Arcucci R (2023) M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.
  • (2024) Data Augmentation, Labelling, and Imperfections: Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Springer Nature Switzerland. View this article in WRRO
  • Li Z, Zheng YQ, Chen C & Jbabdi S (2026) Imbalanced Semi-Supervised Learning via Label Refinement and Threshold Adjustment. Transactions on Machine Learning Research, 2026-June.
  • Wang K, Qin C, Shi Z, Wang H, Zhang X, Chen C, Ouyang C, Dai C, Mo Y, Dai C , Kuang X et al (2026) Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge. Medical Image Analysis, 109, 103883-103883.
  • Liu X, Zhang J, Zhou S, van der Plas TL, Vijayaraghavan A, Grishina A, Zhuang M, Schofield D, Tomlinson C, Wang Y , Li R et al (2025) Towards deployment-centric multimodal AI beyond vision and language. Nature Machine Intelligence, 7(10), 1612-1624. View this article in WRRO
  • Zhang Y, Hager P, Liu C, Shit S, Chen C, Rueckert D & Pan J (2025) Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond. Medical Image Analysis, 106, 103756-103756.
  • Chen C, Li L, Beetz M, Banerjee A, Gupta R & Grau V (2025) Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction. IEEE Transactions on Big Data, 11(3), 948-960.

Data verified 9/6/2026Source

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