Xin Chen

Xin Chen is an Associate Professor of Computer Science at the University of Nottingham, School of Computer Science. He is an IEEE Senior Member with expertise in medical image analysis, computer vision, and machine learning.

His educational background includes BEng and PhD degrees, though specific institutions are not mentioned in the provided text.

Chen's research focuses on medical image processing with particular emphasis on image segmentation, registration, and motion analysis. His work applies computer vision and machine learning techniques to solve medical challenges in areas such as wrist injury analysis, diabetes care, breast cancer screening, and MRI reconstruction. His team develops algorithms for 2D/3D image segmentation, image registration, statistical shape/motion modeling, and CT & MRI image reconstruction.

His recent publications (2023-2025) show a strong focus on deep learning approaches for medical image analysis, particularly segmentation and registration tasks. These works often incorporate innovative techniques like fuzzy systems, transformer networks, and uncertainty modeling to address challenges in medical image analysis.

• IEEE Senior Member

Chen has successfully supervised multiple PhD students to completion and currently mentors several PhD candidates. His research is supported by significant grants from Wellcome Leap, MRC, ERC, NIHR/NHSx, Weston Brain Institute, British Heart Foundation, and Precision Imaging Beacon. His team, the Intelligent Modelling & Analysis Group, focuses on translating computer vision and machine learning research into practical medical applications.

The group maintains active collaborations with medical researchers and clinicians, developing software tools for 2D/3D interactive image segmentation and automatic nerve fiber quantification in corneal confocal microscopy images.