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J-GLOBAL ID:202201006137888318   Update date: Sep. 11, 2024

HORI KENSUKE

ホリ ケンスケ | HORI KENSUKE
Affiliation and department:
Job title: Assistant professor
Other affiliations (1):
Research field  (1): Medical systems
Research keywords  (3): Image reconstruction ,  Medical image processing ,  Deep learning
Research theme for competitive and other funds  (1):
  • 2022 - 2025 _
Papers (14):
  • 堀 拳輔, 橋本 雄幸, 篠原 広行. X線CTにおけるディープラーニング画像再構成. Medical Imaging Technology. 2024. 42. 1. 3-8
  • K. Hori, T. Hashimoto. Image Reconstruction Using Deep Image Prior in Projection Domain for Limited-Angle Problem. 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD). 2023
  • T. Minagawa, K. Hori, T. Hashimoto. Data Acquisition Methods with Off- and Half-step for Few-view SPECT in Triple Detector Systems. 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD). 2023
  • Hiroyuki Shinohara, Kensuke Hori, Takeyuki Hashimoto. Deep learning study on the mechanism of edge artifacts in point spread function reconstruction for numerical brain images. Annals of Nuclear Medicine. 2023
  • Tomoya Minagawa, Kensuke Hori, Takeyuki Hashimoto. Difference between Dual and Triple Detector in Off-set Acquisition for SPECT. 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 2022
more...
MISC (2):
  • 松元祐太, 堀拳輔, 只野喜一, 久原重英, 久原重英, 遠藤祐太, 橋本雄幸, 橋本雄幸. Examination of the reconstruction method using CS and CNN for PROPELLER MRI. 日本医用画像工学会大会予稿集(CD-ROM). 2021. 40th
  • Kensuke Hori, Takeyuki Hashimoto, Shigehide Kuhara. Basic study of random sampling for compressed sensing using MRI simulator. Hellenic Journal of Nuclear Medicine. 2019. 141. 22(Suppl2)
Books (1):
  • 【画像再構成シリーズ】 Pythonによる画像再構成と深層学習の基礎
    2023 ISBN:9784860031435
Lectures and oral presentations  (30):
  • Deep Learningの"いま"と"これから"
    (第11回クリニカルPETフォーラム 2023)
  • アミロイドPET画像におけるNLMフィルタを応用した画質改善についての基礎的検討
    (第43回日本核医学技術学会総会学術大会)
  • FDG-PET検査におけるNLMフィルタを応用した画質改善法の基礎的検討
    (第43回日本核医学技術学会総会学術大会)
  • Data Acquisition Methods with Off- and Half-step for Few-view SPECT in Triple Detector Systems
    (2023 IEEE NSS MIC RTSD 2023)
  • Image Reconstruction Using Deep Image Prior in Projection Domain for Limited-Angle Problem
    (2023 IEEE NSS MIC RTSD 2023)
more...
Education (3):
  • 2019 - 2022 Kyorin University Graduate School of Health Sciences
  • 2017 - 2019 Kitasato University Graduate School of Medical Sciences
  • 2013 - 2017 Kitasato University School of Allied Health Sciences
Professional career (1):
  • 博士(保健学)
Work history (2):
  • 2022/07 - 現在 Tokyo Medical and Dental University Graduate School of Medical and Dental Sciences
  • 2022/04 - 現在 Juntendo University Faculty of Health Science Assistant professor
Committee career (1):
  • 2024/09 - JAMIT若手医用画像工学シンポジウム: SAMIT2024実行委員
Awards (2):
  • 2024/05 - Annals of Nuclear Medicine Best Paper Hisada Prize Deep learning study on the mechanism of edge artifacts in point spread function reconstruction for numerical brain images
  • 2018/11 - 18th Asia-Oceania Congress of Medical Physics Scientific Award Four projection tomosynthesis with different X-ray exposure
Association Membership(s) (2):
Japan Society of Medical Physics ,  The Japanese Society of Medical Imaging Technology
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