Imperial College London

Miss Chen (Cherise) Chen

Faculty of EngineeringDepartment of Computing

Research Assistant
 
 
 
//

Contact

 

chen.chen15 Website

 
 
//

Location

 

344Huxley BuildingSouth Kensington Campus

//

Summary

 

Summary

Chen (Cherise) Chen is a Research Assistant/PhD student 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 medical image analysis, in particular, cardiac image analysis. Currently, she is involved in the SmartHeart Programme in the UK.

Prior to that, she worked for InferVISION (Beijing) -- a medical AI startup for one year as a research engineer and project manager.  In 2016, she received her master degree in Advanced Computing from Imperial College London. Before that, she did her bachelor study in Harbin Institute of Technology in China, majored in the Internet of Things Engineering and graduated as an honour graduate in 2015. During her bachelor study, she was a recipient of the China National Scholarship in both 2013 and 2014.

Publications

Journals

Xiong Z, Xia Q, Hu Z, et al., 2021, A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging, Medical Image Analysis, Vol:67, ISSN:1361-8415, Pages:1-14

Conference

Chen C, Hammernik K, Ouyang C, et al., 2021, Cooperative training and latent space data augmentation for robust medical image segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention

Le EP, Evans NR, Tarkin JM, et al., 2020, Contrast CT classification of asymptomatic and symptomatic carotids in stroke and transient ischaemic attack with deep learning and interpretability, OXFORD UNIV PRESS, Pages:2418-2418, ISSN:0195-668X

Qin C, Wang S, Chen C, et al., 2020, Biomechanics-informed neural networks for myocardial motion tracking in MRI, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer International Publishing, Pages:296-306, ISSN:0302-9743

Wang S, Tarroni G, Qin C, et al., 2020, Deep generative model-based quality control for cardiac MRI segmentation, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer Verlag, Pages:88-97, ISSN:0302-9743

More Publications