Rchr
J-GLOBAL ID：201801006207814888   Update date: Oct. 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 (33)：
  • Emi Yuda, Tomoki Ando, Itaru Kaneko, Yutaka Yoshida, Daisuke Hirahara. Comprehensive Data Augmentation Approach Using WGAN-GP and UMAP for Enhancing Alzheimer’s Disease Diagnosis. Electronics. 2024
  • Ryusei Inamori, Tomofumi Kaneno, Ken Oba, Eichi Takaya, Daisuke Hirahara, Tomoya Kobayashi, Kurara Kawaguchi, Maki Adachi, Daiki Shimokawa, Kengo Takahashi, et al. Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images. The Tohoku journal of experimental medicine. 2024
  • Masatoyo Nakajo, Daisuke Hirahara, Megumi Jinguji, Satoko Ojima, Mitsuho Hirahara, Atsushi Tani, Koji Takumi, Kiyohisa Kamimura, Mitsuru Ohishi, Takashi Yoshiura. Machine learning approach using 18F-FDG-PET-radiomic features and the visibility of right ventricle 18F-FDG uptake for predicting clinical events in patients with cardiac sarcoidosis. Japanese journal of radiology. 2024
  • Changhee Han, Kyohei Shibano, Wataru Ozaki, Keishiro Osaki, Takafumi Haraguchi, Daisuke Hirahara, Shumon Kimura, Yasuyuki Kobayashi, Gento Mogi. All-in-one platform for AI R&D in medical imaging, encompassing data collection, selection, annotation, and pre-processing. CoRR. 2024. abs/2403.06145
  • 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
ｍore...
MISC (42)：
  • 山下 喬之, 平原 大助, 小林 泰之. 特集 DXが理学療法にもたらす未来 教育現場でのDX活用の実際と可能性. 理学療法ジャーナル. 2024. 58. 4. 437-442
  • 「 ニュウセン リョウイキ 」 ロンブン トクシュウゴウ. 2023. 79. 11. 1310-1317
  • Yamashita Takayuki, Hirahara Daisuke, Shimoi Toshinori. Considering the Possibility of Interprofessional Education from the Perspective of Highly Realistic Virtual Reality Education-Devise a Teaching Methods that Incorporates Virtual Reality Technology into Professional Training Courses-. Journal of Physical Therapy Education(Japan). 2023. 3. 1. 3_19-3_27
  • 平原大助. 放射線部門のサスティナビリティを向上するデジタル戦略 最新動向から見えてきた診療の質向上と業務効率化のヒント 放射線診療におけるAIの最新動向. IT Vision. 2023. 47
  • 小牧祥太郎, 高吉進, 馬場祥吾, 四元祐子, 山下喬之, 平原大助. 多職種連携教育におけるVR(Virtual Reality)の有用な活用方法について-VF(videofluoroscopic examination of swallowing)検査における協働場面を通して-. 日本言語聴覚学会(Web). 2023. 24th
ｍore...
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
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page

TOP

BOTTOM