Biography

Atsuhiro Hibi is a PhD candidate at the Institute of Medical Science, University of Toronto. He is pursuing medical imaging research using machine learning applicable to traumatic brain injury.

Interests
  • Machine learning
  • Medical imaging
  • Computer vision for 3D images
Education

  • PhD Candidate, 2023

    University of Toronto, Canada

  • MSc in Computer Science (Informatics), 2012

    Kyoto University, Japan

  • BSc in Engineering, 2010

    Kyoto University, Japan

Experience

 
 
 
 
 
Company sponsored PhD program
Institute of Medical Science, University of Toronto
September 2021 – Present Toronto, Canada

Tentative thesis title:

  • Development of Multimodal Machine Learning-Based Prognostic Models for Traumatic Brain Injury
 
 
 
 
 
Senior Researcher
Nippon Steel Corporation
April 2012 – Present Japan

Responsibilities include:

  • Research and development for machine vision systems for quality management.
  • Expert in computer vision, machine learning and optics.

Publications

Atsuhiro Hibi, Michael D. Cusimano, Alexander Bilbily, Rahul G. Krishnan, Pascal N. Tyrrell, CENTER-TBI and CINTER-TBI Participants and Investigators (2024). Development of a Multimodal Machine Learning-Based Prognostication Model for Traumatic Brain Injury : A CENTER-TBI and CINTER-TBI Study. Journal of Neurotrauma.

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Atsuhiro Hibi, Michael D. Cusimano, Alexander Bilbily, Rahul G. Krishnan, Pascal N. Tyrrell (2023). Automated screening of computed tomography using weakly supervised anomaly detection. IJCARS.

PDF Code DOI

Atsuhiro Hibi, Rui Zhu, Pascal N.Tyrrell (2023). Can Machine Learning Be Better than Biased Readers?. Tomography.

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Atsuhiro Hibi, Majid Jaberipour, Michael D. Cusimano, Alexander Bilbily, Rahul G. Krishnan, Richard I. Aviv, Pascal N. Tyrrell (2022). Systematic Review: Automated identification and quantification of traumatic brain injury from CT scans. In Medicine.

PDF DOI