Rchr
J-GLOBAL ID:201601003465160708   Update date: Jun. 16, 2024

Koshino Saori

Koshino Saori
Affiliation and department:
Job title: Assistant Professor
Research field  (1): Radiology
Research keywords  (10): diffusion MRI ,  Medical Science ,  Philosophy ,  Artificial Intelligence ,  Shogi (Japanese Chess) ,  Image Processing ,  fMRI ,  Polymathematics ,  Cognitive Neuroscience ,  Imaging
Research theme for competitive and other funds  (7):
  • 2022 - 2027 Development and sophistication of computer-aided diagnosis software based on the diagnostic imaging procedure of doctors
  • 2023 - 2026 Development of Methods to Reduce Radiation Injuries to Patients and Operators in Fluoroscopic Guided Procedures
  • 2022 - 2025 Longitudinal Study of Brain Morphology and Function in American Football Athletes
  • 2020 - 2023 Development of computer-aided detection software for lung nodule screening using MRI
  • 2018 - 2022 Feasibility study and clinical application for differential diagnosis using diffusion MRI with a short diffusion time
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Papers (34):
  • Okimoto N, Yasaka K, Cho S, Koshino S, Kanzawa J, Asari Y, Fujita N, Kubo T, Suzuki Y, Abe O. New liver window width in detecting hepatocellular carcinoma on dynamic contrast-enhanced computed tomography with deep learning reconstruction. Radiological Physics and Technology. 2024. e-pub ahead of print
  • Kuwabara M, Ikawa F, Nakazawa S, Koshino S, Ishii D, Kondo H, Hara T, Maeda Y, Sato R, Kaneko T, et al. Artificial intelligence for volumetric measurement of cerebral white matter hyperintensities on thick-slice fluid-attenuated inversion recovery (FLAIR) magnetic resonance images from multiple centers. Scientific Reports. 2024. 14. 1. 10104
  • Nomura Y, Hanaoka S, Hayashi N, Yoshikawa T, Koshino S, Sato C, Tatsuta M, Tanaka Y, Kano S, Nakaya M, et al. Performance changes due to differences among annotating radiologists for training data in computerized lesion detection. International Journal of Computer Assisted Radiology and Surgery. 2024. e-pub ahead of print
  • Itai S, Tonosaki K, Ono S, Watanabe R, Koshino S, Hoshi K, Yonenaga K. The inhibitory effect of catechin on the growth of oral bacteria in vitro and halitosis in a clinical setting. Oral Care. 2023. 18. 1. 27-32
  • Yoshikawa T, Miki S, Nakao T, Koshino S, Hayashi N, Abe O. Axillary lymphadenopathy after Pfizer-BioNTech and Moderna COVID-19 vaccination: MRI evaluation. Radiology. 2023. 306. 1. 270-278
more...
Books (35):
  • RSNA (Radiological Society of North America) 2023 REPORT
    Rad Fan 2024 ISBN:9784862912794
  • The Future of Medicine
    "Encyclopedia of Medical School", PRESIDENT, Tokyo Medical and Dental Cooperative 2024
  • Cerebral Hemorrhage
    "Diagnostic Imaging for Doctors 2. Brain and Spinal Cord", MEDICAL SCIENCES INTERNATIONAL, LTD 2023 ISBN:9784815720230
  • Diagnosis of cerebral aneurysms by AI
    “Digital Health and Industrialization in the 5G Era”, Technical Information Institute Co., LTD 2022 ISBN:9784861048982
  • Future of Radiology AI
    Rad Fan 2022 ISBN:9784862912480
more...
Lectures and oral presentations  (103):
  • Performance changes due to differences among annotating radiologists for training data in computerized lesion detection (Presentation in English)
    (Computer Assisted Radiology and Surgery 2024 2024)
  • Imaging AI for Cerebral White Matter Lesions
    (33rd Annual Meeting of the Japan Brain Dock Society 2024)
  • Development of artificial intelligence for volumetric measurement of cerebral white matter hyperintensities on brain MRI
    (37th Annual Meeting of the Japan Geriatric Neurosurgery Society 2024)
  • Diagnostic Radiology Quiz
    (Minkan-ikyoku connect 2024)
  • Medical AI Utilized by Radiologists
    (Platform for Learning Innovation - Japan (Institute of Industrial Science, the University of Tokyo) STEAM Learning Community 2024)
more...
Education (5):
  • 2017 - 2021 Graduate School of Medicine, The University of Tokyo Radiology and Biomedical Engineering Department of Diagnostic Radiology (Doctor of Philosophy, PhD)
  • 2009 - 2015 Tokyo Medical and Dental University Faculty of Medicine (Doctor of Medicine, MD)
  • 2014 - 2014 Harvard Medical School Boston Children’s Hospital Department of Radiology (Grade: Honors, Scale: Excellent)
  • 2014 - 2014 Harvard Medical School Beth Israel Deaconess Medical Center Department of Neurology (Grade: Honors)
  • 2012 - 2013 Imperial College London Faculty of Medicine Neuroscience Department (Bachelor of Science course, BSc)
Work history (11):
  • 2023/04 - 現在 The University of Tokyo Hospital Department of Radiology Assistant Professor
  • 2018/08 - 現在 Juntendo University Hospital Department of Diagnostic Radiology Contract Research Associate
  • 2021/07 - 2023/03 The University of Tokyo Hospital Department of Computational Diagnostic Radiology and Preventive Medicine Assistant Professor
  • 2021/04 - 2021/06 The University of Tokyo Hospital Department of Computational Diagnostic Radiology and Preventive Medicine Postdoctoral Fellow
  • 2020/04 - 2021/03 The University of Tokyo Hospital Department of Radiology Chief Resident
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Committee career (5):
  • 2024/04 - 現在 Young Leader of the World Federation of Neuroradiological Societies (Recommended by the Japanese Society of Neuroradiology)
  • 2020/09 - 現在 Supervisor of Gifu Health Care Center (Requested by the chairman)
  • 2019/10 - 現在 Reviewer of the Annual Meeting of the International Society for Magnetic Resonance in Medicine (Requested by the society)
  • 2017/04 - 現在 Councilor of Tokyo Medical and Dental University Medical Alumni Association (Recommended by the classmates)
  • 1998/04 - 2017/03 Class Representative (Every year from 3rd year elementary school to today, including elementary school, junior/senior high school, medical school, internship, and residency)
Awards (28):
  • 2020/08 - International Society for Magnetic Resonance in Medicine Virtual Conference & Exhibition Educational Stipend Award Feasibility study of nodule conspicuity for lung screening using ultrashort echo time MRI
  • 2020/07 - European Congress of Radiology 2020 Invest in the Youth Award Deep learning-based automated detection of cerebral aneurysms: a comparison of reading performance between radiologists and neurosurgeons
  • 2020/03 - The University of Tokyo Hospital Award Best Staff Award
  • 2019/05 - 27th Annual Meeting of the International Society for Magnetic Resonance in Medicine Educational Stipend Award OGSE diffusion weighted imaging of epidermoid cysts: 3D Monte Carlo simulation
  • 2018/11 - 104th Annual Meeting of the Radiological Society of North America Travel Award Program for Students Deep Learning based Computer-Aided Detection of Unruptured Cerebral Aneurysms
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Association Membership(s) (9):
International Society for Magnetic Resonance in Medicine ,  European Society of Radiology ,  Radiological Society of North America ,  Japanese Society of Interventional Radiology ,  Japanese Society for Magnetic Resonance in Medicine ,  Japansese Society of Abdominal Radiology ,  Japansese Society of Neuroradiology ,  Japan Radiological Society ,  Japanese Society of Nuclear Medicine
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