Summary
Dr Chen (Cherise) Chen is a Honorary Research Associate in Computing Department at Imperial College London (ICL), where she is working closely with Prof. Daniel Rueckert and Dr. Wenjia Bai. She is currently a lecturer in computer vision at University of Sheffield and a visiting research fellow at University of Oxford. Her main research interest lies in developing robust, reliable deep learning algorithms for medical image analysis. She also worked for HeartFlow as a part-time research scientist in 2022.
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.
Publications
Journals
Kreitner L, Paetzold JC, Rauch N, et al., 2024, Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations., Ieee Trans Med Imaging, Vol:PP
Dawood T, Chen C, Sidhu BS, et al., 2023, Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images, Medical Image Analysis, Vol:88, ISSN:1361-8415
Li Z, Kamnitsas K, Ouyang C, et al., 2023, Context label learning: improving background class representations in semantic segmentation, Ieee Transactions on Medical Imaging, Vol:42, ISSN:0278-0062, Pages:1885-1896
Qin C, Wang S, Chen C, et al., 2023, Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior, Medical Image Analysis, Vol:83, ISSN:1361-8415
Ouyang C, Chen C, Li S, et al., 2022, Causality-inspired single-source domain generalization for medical image segmentation, Ieee Transactions on Medical Imaging, Vol:42, ISSN:0278-0062, Pages:1095-1106