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  • Home
  • Shine a Light
    • Watch
    • Listen
    • Read
  • Radiologists
  • Divisions
    • Abdominal
    • Breast
    • Cardiothoracic
    • Interventional Radiology
    • Molecular Imaging
    • Musculoskeletal
    • Neuroradiology
  • Activities
    • AI
    • AIEC
    • Business
    • Diversity/Equity/Inclusion
    • Education
    • Faculty Development
    • Innovation
    • IT
    • Primary Care rep.
    • Quality & Safety
    • Research
  • Hospitals
    • Toronto General Hospital
    • Toronto Western Hospital
    • Princess Margaret Cancer Centre
    • Women’s College Hospital
    • Sinai Health
  • About JDMI

Leonid Chepelev

Dr. Leonid (Leo) Chepelev (MD PhD FRCPC DABR) is a cardiothoracic radiologist at University Health Network, Sinai Health, Women’s College Hospital and an Assistant Professor in Radiology at the University of Toronto.

He hails from a background in computational biochemistry, completing a PhD in Biology in 2011, focusing on bioinformatics and chemical informatics, with a research term at the European Bioinformatics Institute in Cambridge, UK. In 2015, he graduated from the University of Ottawa School of Medicine, followed by a Diagnostic Radiology residency at the University of Ottawa in 2020 and Stanford University Cardiovascular Imaging Fellowship in 2021.

Dr. Chepelev’s research interests are primarily focused on advanced visualization, Semantic Web Technologies for medical knowledge integration and computational resource orchestration, and the application of machine learning to advancing the appropriateness, role, and impact of medical imaging in frontline clinical practice. He is involved in 3D Printing and RadLex committees at RSNA, serves on editorial boards of European Radiology and 3D Printing in Medicine journals, and reviews for multiple radiology journals.

Recent Publications

  • Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion

    Medical 3D printing of anatomical models is being increasingly applied in healthcare facilities. The accuracy of such 3D-printed anatomical models is […]

  • A systematic evaluation of medical 3D printing accuracy of multi-pathological anatomical models for surgical planning manufactured in elastic and rigid material using desktop inverted vat photopolymerization

    CONCLUSIONS: The maximum measured error was less than 1 mm across all models, and the mean error was less than 0.26mm. Therefore, inverted VP 3D […]

  • Cytotoxicity and cytoprotective activity in naphthalenediols depends on their tendency to form naphthoquinones

    We consider the cytotoxicity and the protection against oxidative stress for members of the naphthalenediol family and the known antioxidant […]

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