Lingxiao Zhao

Lingxiao Zhao

Professor, Dr. Ir.

Calculated based on number of publications stored in Pure and citations from Scopus
20062025

Research activity per year

Personal profile

Personal profile

Lingxiao Zhao is currently working as a full professor in the school of Artificial Intelligence and Advanced Computing (AIAC) at XJTLU. Before joining XJTLU, he worked as a research PI and the Director of the AI for Biomedical Engineering Laboratory at Suzhou Institute of Biomedical Engineering and Technology (SIBET), Chinese Academy of Sciences (CAS). He received his MSc and PhD in Medical Image Processing and Visualization from Delft University of Technology (TU Delft) in 2004 and 2011, respectively. During this period, he conducted his research work as a part of the advanced development of CT imaging and visualization for computer-aided diagnosis in virtual colonography inside of Philips Healthcare, Best, the Netherlands. He then worked as a permenant employee at Philips Healthcare and Philips Research in the Netherlands for about 7 years. In Sep 2015, he joined SIBET as a Distinguished Researcher of CAS 100 Talents Programme. He worked also as a prorfessor and PhD supervisor in the Biomedical Engineering Department of University of Science and Technology of China (USTC, Suzhou), as well as a Guest Professor at Fudan University. In recent years, he has directed or participated various projects, including 3 National / 2 CAS / 2 Jiangsu Provincial / 2 Suzhou Municipal Key Technology R&D programs and more than 10 enterprise collaborative projects. His current research focuses on AI-assisted biomedical image processing and clinical diagnosis and treatment, 3D computer graphics and visualization. He also has extensive experience in using Virtual Reality for clinical intraoperative navigation and assistance.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

PhD, Curvature Lines for Lesion Detection and Visualization in CT Colonography, Delft University of Technology (TU Delft)

1 Sept 200431 Dec 2008

Award Date: 9 Mar 2011

Master, Curvature Estimation for Automatic Polyp Detection in Virtual Colonoscopy, Delft University of Technology (TU Delft)

1 Sept 200231 Aug 2004

Award Date: 17 Aug 2004

Bachelor, Design and Implementation of a Network Encryption Algorithm based on PGP and OpenCA, Beihang University

1 Sept 199630 Jun 2000

Award Date: 1 Jul 2000

Research areas

  • Medical Image Processing
  • 3D Computer Graphics and Medical Visualization
  • AI-assisted Clinical Diagnosis and Treatment

Keywords

  • QA76 Computer software
  • Artificial Intelligence (AI) and Image Processing
  • Computer graphics

Person Types

  • Staff

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