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About Xujiong Ye

Xujiong Ye is a Professor of Medical Imaging & Computer Vision in the School of Computer Science, University of Lincoln, UK. Her main research is to develop computational models using advanced image analysis, computer vision and artificial Intelligence (AI) to support clinicians in decision-making. She received her PhD, MSc and BSc from Zhejiang University, China. Prof. Ye has over 20 years’ research and development experiences in medical imaging, processing and computer vision from both of academia and industry. She was an Associate Professor (1998-1999) in Zhejiang University, China. From 1999 to 2002, she was a post-doctoral researcher at 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, where she led advanced research and development in medical image processing, computer vision, and machine learning. Examples of her research include automated multimodal MRI brain tumour detection / segmentation / tumour 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 100 publications, 3 granted patent and 1 patent applications pending in the fields of medical image processing, computer vision, and machine learning. She is a member of the EPSRC Associate Peer Review College, a member of the UK Research and Innovation Future Leaders Fellowships programme Peer Review College, and also a reviewer for several high impact international journals.

Department Responsibilities

Deputy School Director of Research (2018-) School Director of Research (2016-2017) School Athena Swan Chair (2013-2016) Member of the College of Science Research Committee Steering Committee Member of the Lincoln Institute for Health Teaching: Computer Vision (module coordinator), MSc Level Image Processing (module coordinator 2014-15), 3rd year, Semester A Advanced Software Engineering, MSc level Software Engineering, 3rd year, Semester A ( Academic Year 2012-2015)

Subject Specialism

Medical Image Analysis; Computer Aided Detection and Segmentation; Multimodal Brain Image Analysis; and Computer Vision


  • PhD, MSc, BSc
  • Fellow of HEA


  • Computer-aided detection (CAD) for Robotic Colonoscopy (Bowels - inside out) — CRUK, University Principal Investigator,
  • MyLifeHub — EPSRC (EP/L023679/1), Principal Investigator,
  • A statistical approach for automating ultrasound fetal biometric measurements and quality assurance — RIF, Principal Investigator,
  • MyHealthAvatar. — EU FP7-ICT-2011-9 , Principal Investigator,
  • An intelligent eye testing and analysis suite for ophthalmic healthcare. — TSB, Principal Investigator,
  • Automatic eye movement detection using Markov Random Field on mobile devices for ophthalmi — TSB, Principal Investigator,
  • Numerical optimisation of Ricci flow for corresponding prone/supine surface visualisation — TSB, CI,
  • A General Toolkit for “GPUtilisation” in SME Applications. — EU FP7, Principal Investigator,

Orcid ID


Research Interests

  • Computer Vision

  • Computer-Aided Detection (CAD)

  • Image segmentation

  • Multimodal Brain Image Analysis

  • Medical Image Analysis

  • Pattern Recognition

Research Groups Memberships

Research in the Lincoln Repository

Professional Affiliations

  • Member of the EPSRC Associate Peer Review College
  • Member of Institute of Electrical and Electronics Engineers (IEEE)
  • Steering Committee Member of Medical Image Understanding and Analysis (MIUA) Conference
  • Member of British Council Peer Review
  • Editorial Board of Algorithms (ISSN 1999-4893)
  • Member of the UKRI Future Leaders Fellowships Peer Review College