Dr Chen Chen

School of Computer Science

Lecturer in Computer Vision

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Profile photo of Dr Chen Chen
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chen.chen2@sheffield.ac.uk
+44 114 215 8560

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Dr Chen Chen
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
Profile

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
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

Show: Featured publications All publications

Journal articles

  • Ouyang C, Chen C, Li S, Li Z, Qin C, Bai W & Rueckert D (2023) . 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) . Medical Image Analysis, 82, 102597-102597.
  • Chen C, Qin C, Qiu H, Tarroni G, Duan J, Bai W & Rueckert D () . Frontiers in Cardiovascular Medicine, 7.

Preprints

  • 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.

All publications

Books

  • (2024) . Springer Nature Switzerland.

Journal articles

  • Chen C, Li L, Beetz M, Banerjee A, Gupta R & Grau V (2025) . IEEE Transactions on Big Data, 11(3), 948-960.
  • Payette K, Steger C, Licandro R, Dumast PD, Li HB, Barkovich M, Li L, Dannecker M, Chen C, Ouyang C , McConnell N et al (2025) . IEEE Transactions on Medical Imaging, 44(3), 1257-1272.
  • Kreitner L, Paetzold JC, Rauch N, Chen C, Hagag AM, Fayed AE, Sivaprasad S, Rausch S, Weichsel J, Menze BH , Harders M et al (2024) . IEEE Transactions on Medical Imaging, 43(6), 2061-2073.
  • Li Z, Kamnitsas K, Ouyang C, Chen C & Glocker B (2023) . IEEE Transactions on Medical Imaging, 42(6), 1885-1896.
  • Dawood T, Chen C, Sidhu BS, Ruijsink B, Gould J, Porter B, Elliott MK, Mehta V, Rinaldi CA, Puyol-Antón E , Razavi R et al (2023) . Medical Image Analysis, 88, 102861-102861.
  • Ouyang C, Chen C, Li S, Li Z, Qin C, Bai W & Rueckert D (2023) . IEEE Transactions on Medical Imaging, 42(4), 1095-1106.
  • Qin C, Wang S, Chen C, Bai W & Rueckert D (2023) . Medical Image Analysis, 83, 102682-102682.
  • Chen C, Qin C, Ouyang C, Li Z, Wang S, Qiu H, Chen L, Tarroni G, Bai W & Rueckert D (2022) . Medical Image Analysis, 82, 102597-102597.
  • Zhuang X, Xu J, Luo X, Chen C, Ouyang C, Rueckert D, Campello VM, Lekadir K, Vesal S, RaviKumar N , Liu Y et al (2022) . Medical Image Analysis, 81, 102528-102528.
  • Ouyang C, Biffi C, Chen C, Kart T, Qiu H & Rueckert D (2022) . IEEE Transactions on Medical Imaging, 41(7), 1837-1848.
  • Xiong Z, Xia Q, Hu Z, Huang N, Bian C, Zheng Y, Vesal S, Ravikumar N, Maier A, Yang X , Heng P-A et al (2021) . Medical Image Analysis, 67, 101832-101832.
  • Le EPV, Evans NR, Tarkin JM, Chowdhury MM, Zaccagna F, Wall C, Huang Y, Weir-Mccall JR, Chen C, Warburton EA , Schonlieb CB et al (2020) . European Heart Journal, 41(Supplement_2).
  • Li Z, Hou Z, Chen C, Hao Z, An Y, Liang S & Lu B (2019) . IEEE Access, 7, 37749-37756.
  • Chen C, Bai W, Davies RH, Bhuva AN, Manisty CH, Augusto JB, Moon JC, Aung N, Lee AM, Sanghvi MM , Fung K et al () . Frontiers in Cardiovascular Medicine, 7.
  • Chen C, Qin C, Qiu H, Tarroni G, Duan J, Bai W & Rueckert D () . Frontiers in Cardiovascular Medicine, 7.

Book chapters

  • Fan W, Rizky LMR, Zhang J, Chen C, Lu H, Teh K, Selvarajah D & Zhou S (2026) , Lecture Notes in Computer Science (pp. 238-248). Springer Nature Switzerland
  • Ramzan F, Kiberu Y, Jathanna N, Jamil-Copley S, Clayton RH & Chen C (2025) In Cafolla D, Rittman T & Ni H (Ed.), Lecture Notes in Computer Science (pp. 279-292). Springer Cham
  • Zhang Y, Chen C, Shit S, Starck S, Rueckert D & Pan J (2024) 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
  • Suvon MNI, Tripathi PC, Fan W, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ, Chen C & Lu H (2024) , Lecture Notes in Computer Science (pp. 296-306). Springer Nature Switzerland

Conference proceedings

  • Qiu H, Hammernik K, Qin C, Chen C & Rueckert D (2022) (pp 56-65)
  • Li Z, Kamnitsas K, Islam M, Chen C & Glocker B (2022) (pp 693-703)
  • Chen C, Li Z, Ouyang C, Sinclair M, Bai W & Rueckert D (2022) (pp 151-161)
  • Ouyang C, Wang S, Chen C, Li Z, Bai W, Kainz B & Rueckert D (2022) (pp 59-69)
  • Dawood T, Chen C, Andlauer R, Sidhu BS, Ruijsink B, Gould J, Porter B, Elliott M, Mehta V, Rinaldi CA , Puyol-Antón E et al (2022) (pp 189-198)
  • Wang S, Qin C, Savioli N, Chen C, O’Regan DP, Cook S, Guo Y, Rueckert D & Bai W (2021) (pp 14-24)
  • Chen C, Hammernik K, Ouyang C, Qin C, Bai W & Rueckert D (2021) (pp 149-159)
  • Ouyang C, Biffi C, Chen C, Kart T, Qiu H & Rueckert D (2020) (pp 762-780)
  • Qin C, Wang S, Chen C, Qiu H, Bai W & Rueckert D (2020) (pp 296-306)
  • Chen C, Qin C, Qiu H, Ouyang C, Wang S, Chen L, Tarroni G, Bai W & Rueckert D (2020) (pp 667-677)
  • Puyol-Antón E, Chen C, Clough JR, Ruijsink B, Sidhu BS, Gould J, Porter B, Elliott M, Mehta V, Rueckert D , Rinaldi CA et al (2020) (pp 284-293)
  • Wang S, Tarroni G, Qin C, Mo Y, Dai C, Chen C, Glocker B, Guo Y, Rueckert D & Bai W (2020) (pp 88-97)
  • Chen C, Ouyang C, Tarroni G, Schlemper J, Qiu H, Bai W & Rueckert D (2020) (pp 209-219)
  • Bai W, Chen C, Tarroni G, Duan J, Guitton F, Petersen SE, Guo Y, Matthews PM & Rueckert D (2019) (pp 541-549)
  • Chen C, Biffi C, Tarroni G, Petersen S, Bai W & Rueckert D (2019) (pp 523-531)
  • Chen C, Bai W & Rueckert D (2019) (pp 292-301)

Preprints

  • 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) , arXiv.
  • Li S, Chen C & Han J (2025) SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality.
  • Ramzan F, Kiberu Y, Jathanna N, Jamil-Copley S, Clayton RH & Chen C (2025) CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation.
  • Chen C, Li L, Beetz M, Banerjee A, Gupta R & Grau V (2024) Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.
  • Payette K, Steger C, Licandro R, Dumast PD, Li HB, Barkovich M, Li L, Dannecker M, Chen C, Ouyang C , McConnell N et al (2024) Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.
  • 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.
  • Guo J, Zhang W, Sinclair M, Rueckert D & Chen C (2023) Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation.
  • Chen C, Li Z, Ouyang C, Sinclair M, Bai W & Rueckert D (2022) MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.
  • Chen C, Qin C, Ouyang C, Li Z, Wang S, Qiu H, Chen L, Tarroni G, Bai W & Rueckert D (2021) Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.
  • Chen C, Hammernik K, Ouyang C, Qin C, Bai W & Rueckert D (2021) Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.
  • Chen C, Qin C, Qiu H, Ouyang C, Wang S, Chen L, Tarroni G, Bai W & Rueckert D (2020) Realistic Adversarial Data Augmentation for MR Image Segmentation.
  • Zhuang X, Xu J, Luo X, Chen C, Ouyang C, Rueckert D, Campello VM, Lekadir K, Vesal S, RaviKumar N , Liu Y et al (2020) Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge.
  • Chen C, Qin C, Qiu H, Tarroni G, Duan J, Bai W & Rueckert D (2019) Deep learning for cardiac image segmentation: A review.
  • Chen C, Ouyang C, Tarroni G, Schlemper J, Qiu H, Bai W & Rueckert D (2019) Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.
  • Chen C, Biffi C, Tarroni G, Petersen S, Bai W & Rueckert D (2019) Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images.
  • Bai W, Chen C, Tarroni G, Duan J, Guitton F, Petersen SE, Guo Y, Matthews PM & Rueckert D (2019) Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
  • Chen C, Bai W, Davies RH, Bhuva AN, Manisty C, Moon JC, Aung N, Lee AM, Sanghvi MM, Fung K , Paiva JM et al (2019) Improving the generalizability of convolutional neural network-based segmentation on CMR images.
  • Chen C, Bai W & Rueckert D (2018) Multi-Task Learning for Left Atrial Segmentation on GE-MRI.
Grants
  • 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, Â£19,211, as PI
Professional activities and memberships

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