Imperial College London

DrChenQin

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Lecturer
 
 
 
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Contact

 

c.qin15 Website

 
 
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Location

 

Translation & Innovation Hub BuildingWhite City Campus

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Summary

 

Summary

Dr. Chen Qin is a Lecturer in Computer Vision and Machine Learning at Department of Electrical and Electronic Engineering and Imperial-X, Imperial College London. Previously, she was a Lecturer at School of Engineering, University of Edinburgh from July 2020 to September 2022. She obtained her Ph.D. in Computing Research from Imperial College London in January 2020, and M.Sc. in Control Science and Engineering from Department of Automation, Tsinghua University in July 2015. Before moving to University of Edinburgh, she has worked as a post-doctoral research associate at Department of Computing, Imperial College London, where she has worked on deep learning-based MRI reconstruction, image registration and segmentation. Her pioneering work on convolutional recurrent neural networks for MRI reconstruction has been highly and widely recognised by international leading groups from both academia and industry. Overall, she has published more than 40 papers in top-tier peer-reviewed engineering and medical imaging journals and conference proceedings (google scholar). She has served as an area chair for MICCAI 2022 and a member of organising and programme committee at several international workshops, e.g., CMRxMotion 2022 and MLMIR 2022.

For further information, please also look at my personal webpage.

I am looking for highly motivated PhD students to work on machine learning for medical image computing. Studentship is available for 2023 entry. Please feel free to get in touch. Details can be found here.

Publications

Journals

Lyu J, Li G, Wang C, et al., 2023, Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction., Med Image Anal, Vol:85

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, ISSN:0278-0062, Pages:1-1

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

Meng Q, Bai W, Liu T, et al., 2022, MulViMotion: shape-aware 3D myocardial motion tracking from multi-view cardiac MRI, Ieee Transactions on Medical Imaging, Vol:41, ISSN:0278-0062, Pages:1961-1974

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