Xiang Chen (陈祥)
Assistant Professor
College of Electrical and Information Engineering
Hunan University
Email: xiangc@hnu.edu.cn
Office: Rm 306, National Engineering Research Center for Robot Visual Perception and Control Technology, Hunan University, Changsha
Biography
Xiang Chen is currently an assistant professor in College of Electrical and Information Engineering at Hunan University, working with Prof. Min Liu and Prof. Yaonan Wang.
I received my B.S. degree in Electronics and Information Engineering in 2016 and the M.S. degree in Communication and Information System in 2019, both from Sichuan University (SCU), Chengdu, China. I was a member of the Image Information Institute of Sichuan University during my postgraduate studies. In 2023, I completed my PhD at the CISTIB research group in University of Leeds , where I was supervised by Prof. Alejandro F Frangi , Dr. Nishant Ravikumar and Dr. Yan Xia.
My research is focused on Medical Image Analysis, Computer Vision, Mesh Reconstuction, Medical Image Registration and Medical Image Segmentation.
Currently, I am looking for excellent postgraduate students who are intersted in medical image analysis and computer vision. If you are interested, please don’t hesitate to shoot me an email.
Personal Homepages
Recent Updates
[01/2024 ] I joined Hunan University as an Assistant Professor.
Selected Publications
Deep Learning in Cardiac Magnetic Resonance Image Analysis and Cardiovascular Disease Diagnosis,
Xiang Chen.
University of Leeds, 2023.
Automatic 3D+ t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale,
Yan Xia, Xiang Chen, Nishant Ravikumar, Christopher Kelly, Rahman Attar, Nay Aung, Stefan Neubauer, Steffen E Petersen, Alejandro F Frangi. (contributed equally)
Medical Image Analysis, 2022.
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds,
Xiang Chen, Nishant Ravikumar, Yan Xia, Rahman Attar, Andres Diaz-Pinto, Stefan K Piechnik, Stefan Neubauer, Steffen E Petersen, Alejandro F Frangi.
Medical Image Analysis, 2021.
A deep discontinuity-preserving image registration network,
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F Frangi.
MICCAI, 2021.
Deep learning in medical image registration,
Xiang Chen, Andres Diaz-Pinto, Nishant Ravikumar, Alejandro F Frangi.
Progress in Biomedical Engineering, 2021.
FTGAN: A fully-trained generative adversarial networks for text to face generation,
Xiang Chen, Lingbo Qing, Xiaohai He, Xiaodong Luo, Yining Xu.
arXiv preprint , 2019.
From eyes to face synthesis: a new approach for human-centered smart surveillance,
Xiang Chen, Linbo Qing, Xiaohai He, Jie Su, Yonghong Peng.
IEEE Access, 2018.
Projects and Research Experiences
INSILEX: Precision Computational Medicine for In-Silico Trials of Medical Devices,
Responsible for surface mesh reconstruction.
main member,
05/2021- 11/2023.
Multimodal Perception and Control Method Research for Laparoscope Surgical Robot,
Responsible for 3D surgical environment reconstruction and navigation.
main member,
01/2023- now.