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J-GLOBAL ID：201801006207814888   Update date: Feb. 22, 2024

Hirahara Daisuke

ヒラハラ ダイスケ | Hirahara Daisuke
Affiliation and department：
学校法人原田学園 経営企画室

About 学校法人原田学園 経営企画室


Job title： 人工知能教育・研究開発チーム
Other affiliations (3)：
Research field  (4)： Quantum beam science ,  Radiology ,  Medical systems ,  Statistical science
Research keywords  (4)： Mechanical Learning ,  診療放射線技術 ,  Deep Learning ,  MRI
Research theme for competitive and other funds  (1)：
  • 2020 - 2023 CFDと人工知能を用いた門脈圧亢進症の門脈血流評価と異常探知法の開発
Papers (29)：
  • Kodai Kawaji, Masatoyo Nakajo, Yoshiaki Shinden, Megumi Jinguji, Atsushi Tani, Daisuke Hirahara, Ikumi Kitazono, Takao Ohtsuka, Takashi Yoshiura. Application of Machine Learning Analyses Using Clinical and [18F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer. Molecular imaging and biology. 2023. 25. 5. 923-934
  • Masatoyo Nakajo, Hiromi Nagano, Megumi Jinguji, Yoshiki Kamimura, Keiko Masuda, Koji Takumi, Atsushi Tani, Daisuke Hirahara, Keisuke Kariya, Masaru Yamashita, et al. The usefulness of machine-learning-based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features for predicting prognosis in patients with laryngeal cancer. The British journal of radiology. 2023. 96. 1149. 20220772-20220772
  • Daisuke Hirahara. [The Fundamentals of Diffusion Weighted Imaging (DWI) in the Mammary Region and Its Application to Artificial Intelligence (AI)]. Nihon Hoshasen Gijutsu Gakkai zasshi. 2023. 79. 11. 1310-1317
  • Takafumi Haraguchi, Yasuyuki Kobayashi, Daisuke Hirahara, Tatsuaki Kobayashi, Eichi Takaya, Mariko Takishita Nagai, Hayato Tomita, Jun Okamoto, Yoshihide Kanemaki, Koichiro Tsugawa. Radiomics model of diffusion-weighted whole-body imaging with background signal suppression (DWIBS) for predicting axillary lymph node status in breast cancer. Journal of X-ray science and technology. 2023. 31. 3. 627-640
  • Hayato Tomita, Tatsuaki Kobayashi, Eichi Takaya, Sono Mishiro, Daisuke Hirahara, Atsuko Fujikawa, Yoshiko Kurihara, Hidefumi Mimura, Yasuyuki Kobayashi. Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary study. European radiology. 2022. 32. 8. 5353-5361
ｍore...
MISC (2)：
  • 金子格, 平原大助, 吉田豊, 早野順一郎, MOZOS Oscar Martinez, 湯田恵美. Classification and Discriminability of Heart Rate Variability Indices in Monkeys and Humans using Machine Learning. 電子情報通信学会技術研究報告(Web). 2022. 121. 389(MBE2021 87-106)
  • 印牧義英, 小林達明, 高屋英知, 平原大助, 小林泰之, 三村秀文, 津川浩一郎. 新時代の乳腺画像診断 MRI:乳房MRIの現状と将来展望について. 日本医学放射線学会秋季臨床大会抄録集. 2019. 55th
Books (10)：
  • サクッとわかる医療AI
    シービーアール 2022 ISBN:4908083797
  • Rad Fan 2021 JULY Vol.19 No.7
    2021
  • Rad Fan 2021 JULY Vol.19 No.7
    2021
  • MRI応用自在 第4版
    メジカルビュー社 2021
  • PEPARS
    2020
ｍore...
Lectures and oral presentations  (35)：
  • AI Course for Medical Professionals
    (2022)
  • AI Course for Medical Professionals
    (2021)
  • Comparison of noise2noise and noise2clear in MRI images
    (The 60th Annual Conference of Japanese Society for Medical and Biological Engineering 2021)
  • Fundamentals of Artificial Intelligence I (Introduction to Machine Learning)
    (2021)
  • AI imaging diagnosis in MRI field
    (2021)
ｍore...
Professional career (1)：
  • 修士(人間科学) (日本大学)
Work history (2)：
  • 2021/07 - 現在 学校法人原田学園 鹿児島医療技術専門学校 講師
  • 2020/04 - 現在 Tohoku University Graduate School of Medicine
Awards (1)：
  • 2018/02 - Outstanding performance award Intestinal content signal suppression method in diffusion weighted images
Association Membership(s) (9)：
IEEE ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  MEDICAL IMAGING AND INFORMATION SCIENCES ,  JAPAN ASSOCIATION FOR MEDICAL INFORMATICS ,  JAPANESE SOCIETY FOR MAGNETIC RESONANCE IN MEDICINE ,  THE JAPAN ASSOCIATION OF RADIOLOGICAL TECHNOLOGISTS ,  JAPANESE SOCIETY OF RADIOLOGICAL TECHNOLOGY ,  Body DWI研究会 ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE
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