Professor Xujiong Ye

Xujiong Ye is a Professor of Computer Vision and AI in Healthcare at the Department of Computer Science, University of Exeter, UK. Her primary research focuses on developing computational models using advanced computer vision and multimodal artificial intelligence (AI) to support clinicians in decision-making. Prof Ye is an Honoary Professor at the College of Health and Science, University of Lincoln. She received her PhD, MSc, and BSc from Zhejiang University, China.  

Prof. Ye has over 20 years of research and development experience in medical imaging, processing, and computer vision, spanning both academia and industry. She was a Professor of Medical Imaging & Computer Vision (2012-2024) at the University of Lincoln and an Associate Professor (1998-1999) at Zhejiang University, China. From 1999 to 2002, she was a post-doctoral researcher at the Medical Vision Lab, Engineering Department, University of Oxford, where she worked on 3D cardiac ultrasound image reconstruction and motion analysis from multiple acoustic sparse views. From 2002 to 2012, she was a senior scientist/team leader at Medicsight Ltd, leading advanced research and development in medical image processing, computer vision, and machine learning. Examples of her research include automated multimodal MRI brain tumor detection, segmentation, tumor grading, CT brain trauma segmentation, automated lung nodule/colonic polyp detection and segmentation, colonic surfaces registration, quantification of coronary artery calcification in CT images, and ultrasound fetal biometrics measurements. Prof. Ye has over 200 publications and 3 granted patents in the fields of medical image processing, computer vision, and machine learning.

Prof. Ye is a full member of the EPSRC Peer Review College, a member of the UK Research and Innovation Future Leaders Fellowships program Peer Review College, and a reviewer for several high-impact international journals. Prof. Ye served on the Computer Science and Informatics sub-panel (UoA11) in the UK Research Excellence Framework (REF) 2021.

Funding Awards:

• Causal Counterfactual visualisation for human causal decision making - A case study in healthcare - EPSRC (EP/X029778/1), Co-Investigator 2023
• Automatic MRI image interpretation and 3D motion analysis for diagnosis of knee disorders - KTP, Principal Investigator 2022
• University of Lincoln Core Equipment 2022 - EPSRC (EP/X035018/1), Co-Investigator 2022
• Predicting the location and interval of lung nodule occurrence from low- dose CT - CRUK, University Principal Investigator 2019
• Computer-aided detection (CAD) for Robotic Colonoscopy (Bowels - inside out) - CRUK, University Principal Investigator 2016
• MyLifeHub - EPSRC (EP/L023679/1), Principal Investigator 2014
• A statistical approach for automating ultrasound fetal biometric measurements and quality assurance - RIF, Principal Investigator 2014
• MyHealthAvatar. - EU FP7-ICT-2011-9 , Principal Investigator 2013
• An intelligent eye testing and analysis suite for ophthalmic healthcare. - TSB, Principal Investigator 2012
• Automatic eye movement detection using Markov Random Field on mobile devices for ophthalmi - TSB, Principal Investigator 2012
• A General Toolkit for “GPUtilisation” in SME Applications. - EU FP7, Principal Investigator 2011
• Numerical optimisation of Ricci flow for corresponding prone/supine surface visualisation - TSB, CI 2011

Training Courses:

• Aurora Leadership Programme 2015

News:

• I have a fully funded PhD studentship available (https://www.exeter.ac.uk/study/funding/award/?id=5292). Potential PhD students and academic visitors are welcome to contact me directly. There are also 50 CSC fully funded PhD studentships at Exeter, the application deadline is midnight 2 December 2024, You can find details and a list of my research topics here (under computer science)