Clin Asst Prof Vincent Chan Ern Yao

Dr Vincent Chan is a Consultant in the Department of Neuroradiology at the National Neuroscience Institute. His clinical work focuses on CT and MRI assessment of brain and spine disorders, including neurovascular, neuro-oncological, inflammatory, demyelinating and white matter disease.

Dr Chan was awarded the Health Manpower Development Plan (HMDP) fellowship by the Ministry of Health and completed fellowship training in advanced neuroimaging techniques relevant to clinical neuroradiology and pre-surgical planning in the U.S.A at Mayo Clinic, Rochester as well as Massachusetts General Hospital, Boston in 2025 and 2026.

His clinical and academic interests include translating advanced imaging into clinical practice, particularly pre-surgical neuroimaging, advanced MRI for neuro-oncology and neurovascular disease, and imaging support for neuromodulation. He has authored peer-reviewed publications and book chapters spanning neuroradiology, imaging-related innovation and medical education.

Dr Chan is actively involved in undergraduate and postgraduate medical education, teaching across Singapore’s three medical schools and contributing to the National Radiology Residency teaching programme. He also has an interest in medical education innovation and has led work on simulation-based training for radiology safety and education, including the development of a serious game for managing contrast media-related adverse events. He contributes to radiology informatics and imaging workflows through committee work relating to RIS and PACS.

• FRCR (Fellow of the Royal College of Radiologists), United Kingdom, 2019
• MMed (Master of Medicine), Diagnostic Radiology, National University of Singapore, 2019
• Executive Certificate in Technology Enhanced Learning (TEL) for Health Professions Education (HPE), National University of Singapore, 2024
• National University Health System (NUHS) Radiology Residency Programme, 2017 - 2021
• MB BCh BAO - National University of Ireland, 2014

• Consultant, Department of Neuroradiology, National Neuroscience Institute
• Co-Director, Neuro-imaging Centre Research Platform, NNI Research & Innovation
• Deputy Director, Medical Student Education, Radiological Sciences Academic Clinical Programme (RADSC ACP)
• Clinical Assistant Professor, Duke-NUS Medical School, National University of Singapore
• Clinical Lecturer, Yong Loo Lin School of Medicine, National University of Singapore
• Clinical Educator, Lee Kong Chian School of Medicine, Nanyang Technological University
• Clinical Physician Faculty Member, SingHealth Diagnostic Radiology Residency Programme
• Member, NHG Radiology Informatics Steering Committee (RISC)
• Member, SingHealth RISPACS Epic Focus group
• Member, Cluster PACS User Reference Group (URG)

• Integrated Deep Learning-Based Intracranial Vessel Wall Imaging with DANTE Preparation: Feasibility and Technical Performance.
  Rai P, Chan VEY, Benson JC, Diehn FE, Farnsworth PM, Silvera VM, Kollasch P, Stemmer A, Nickel MD, Messina SA, Bathla G.
  AJNR American Journal of Neuroradiology. 2026 Aug;47(8):2029–2037. doi: 10.3174/ajnr.A9232.
• Cerebral Proliferative Angiopathy: Imaging Spectrum and Diagnostic Insights.
  Rai P, Chan VEY, Lakhani DA, Diehn FE, Silvera VM, Benson JC, Lanzino G, Bathla G.
  AJNR American Journal of Neuroradiology. 2026 Jul;47(7):1776–1784. doi: 10.3174/ajnr.A9122.
• State-of-the-Art Imaging and Localization Assessment in Post-Operative Deep Brain Stimulation for Parkinson’s Disease: A Review.
  Susanto KT, Premchand B, Wan KR, Yu WY, Oh HP, Chan VEY, Misbaah F, So RQ.
  Stereotactic and Functional Neurosurgery. 2026 Jun 11:1–13. Online ahead of print. doi: 10.1159/000553009.
• Vessel Wall Imaging at 7T: State of the Art.
  Rai P, Chan VEY, Fagan AJ, Soni N, Passe TJ, Agarwal A, Silvera VM, Madhavan AA, Messina SA, Bathla G.
  AJNR American Journal of Neuroradiology. 2026 May;47(5):1187–1194. doi: 10.3174/ajnr.A9065.
• Deep-Learning Accelerated Vessel Wall Imaging Using T1-SPACE at Ultra-High-Field Strength MRI.
  Bathla G, Rai P, Chan VEY, Nickel MD, Kollasch P, Dueker K, Fagan AJ, Benson JC, Huston J 3rd, Messina SA.
  AJNR American Journal of Neuroradiology. 2026 May;47(5):1424–1431. doi: 10.3174/ajnr.A9097.
• Deep learning-accelerated 3D FLAIR for white matter lesion detection in multiple sclerosis: a feasibility study.
  Rai P, Chan VEY, Nickel MD, Bilgin C, Kollasch P, Dueker K, Passe TJ, Messina SA, Silvera VM, Agarwal A, Bathla G.
  Neuroradiology. 2026 May;68(5):1415–1426. doi: 10.1007/s00234-025-03889-3.
• The 2024 Update to the McDonald Criteria for Multiple Sclerosis Diagnosis: A Guide for Radiologists.
  Rai P, Bathla G, Chan VEY, Bagnato F, Vattoth S, Deng F, Lakhani DA.
  AJR American Journal of Roentgenology. 2026 Apr;226(4):e2533997. doi: 10.2214/AJR.25.33997.
• Cauda equina thickening: an approach to MRI findings.
  Bee SWL, Hoe RHM, Goh AGW, Goh Y, Chan VEY, Yong C, Lim MC, Kee CK, Kei PL.
  Clinical Radiology. 2023 Jul;78(7):497–508. doi: 10.1016/j.crad.2023.04.002.
• Convolutional Neural Networks for Automated Fracture Detection and Localization on Wrist Radiographs.
  Thian YL, Li Y, Jagmohan P, Sia D, Chan VEY, Tan RT.
  Radiology: Artificial Intelligence. 2019 Jan;1(1):e180001. doi: 10.1148/ryai.2019180001.

Selected Books & Chapters:

• Gastrointestinal Stromal Tumours (GIST).
  Chan VEY, Lee JKT, Hallinan JTPD, Tay TKY, Farid M, Wong JSM, Chia CS, Choo BA. In: Lee Kwan Min V, E Puhaindran M, Bok Ai C, Pang ASL, Hallinan JTPD, editors. Clinical Management of Bone and Soft Tissue Tumors. Singapore: Springer; 2025. p. 255–263. doi:10.1007/978-981-96-2163-7_25.
• Imaging of External Ear Canal Masses: Cholesteatoma and Tumours.
  Chan VEY, Pulickal GG. In: Temporal Bone Imaging Made Easy. Cham: Springer; 2021. p. 65–70.
• Radiological Features of Otitis Externa.
  Chan VEY, Pulickal GG. In: Temporal Bone Imaging Made Easy. Cham: Springer; 2021. p. 59–64.