Prof 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 in the fields of medical image processing, computer vision, and machine learning. She is a full member of the EPSRC 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

  • College of Science, Director of Research (2020-)
  • School Director of Research (2016- 2020)
  • 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, (2016- Present)
  • Image Processing (module coordinator 2014-15), 3rd year, Semester A
  • Advanced Software Engineering, MSc level (Academic Year 2016-2018)
  • Applied Signal and Image Processing, MSc level (Academic Year 2019-2020)
  • Applied Signal and Image Processing, MSc Level Software Engineering, 3rd year, Semester A ( Academic Year 2012-2015)

Subject Specialisms

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

Qualifications

  • PhD, MSc, BSc –
  • Fellow of HEA –

Professional Affiliations

  • Member of the UKRI Future Leaders Fellowships Peer Review College
  • Editorial Board of Algorithms (ISSN 1999-4893)
  • 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

Awards

  • 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