Imperial College London

Dr Chen (Cherise) Chen

Faculty of EngineeringDepartment of Computing

Research Associate



chen.chen15 Website




344Huxley BuildingSouth Kensington Campus





Dr Chen (Cherise) Chen is a Research Associate in Computing Department at Imperial College London (ICL), where she is working closely with Prof. Daniel Rueckert and Dr. Wenjia Bai. Her main research interest lies in developing robust, reliable deep learning algorithms for medical image analysis. Currently, she is involved in the SmartHeart Programme in the UK. She is also currently working as a part-time research scientist at Heartflow.

Chen received her Ph.D. degree in Computing Research from Imperial College London in January 2022. She received her MSc degree in Advanced Computing from Imperial College London in 2016 and BEng degree in Internet of Things Engineering from Harbin Institute of Technology in 2015. She was a recipient of the China National Scholarship in both 2013 and 2014. Chen has also worked for InferVISION (Beijing) -- a medical artificial intelligence startup, for one year as a research scientist in 2017. 



Qin C, Wang S, Chen C, et al., 2022, Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior., Med Image Anal, Vol:83

Chen C, Qin C, Ouyang C, et al., 2022, Enhancing MR image segmentation with realistic adversarial data augmentation, Medical Image Analysis, Vol:82, ISSN:1361-8415, Pages:1-15

Zhuang X, Xu J, Luo X, et al., 2022, Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge, Medical Image Analysis, Vol:81, ISSN:1361-8415

Ouyang C, Biffi C, Chen C, et al., 2022, Self-supervised learning for few-shot medical image segmentation, Ieee Transactions on Medical Imaging, Vol:41, ISSN:0278-0062, Pages:1837-1848


Chen C, Li Z, Ouyang C, et al., MaxStyle: adversarial style composition for robust medical image segmentation, Medical Image Computing and Computer Assisted Interventions (MICCAI) 2022

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