Rchr
J-GLOBAL ID:202001015567285263   Update date: Dec. 12, 2025

Kurata Yasuhisa

Kurata Yasuhisa
Research field  (2): Software ,  Radiology
Research theme for competitive and other funds  (3):
  • 2023 - 2026 深層学習と異常検知による子宮筋腫と子宮肉腫の鑑別モデル作成のための多施設共同研究
  • 2022 - 2025 放射線診断学の画像とレポートを用いた深層学習の応用
  • 2020 - 2023 深層学習を用いた産婦人科MRIの自動診断
Papers (45):
  • Naoki Takahashi, Yasuhisa Kurata. Artificial Intelligence-Assisted Interpretation of Prostate MRI Improves Cancer Detection. AJR. American journal of roentgenology. 2025
  • Hirotsugu Nakai, Adam T Froemming, Akira Kawashima, Jordan D LeGout, Yasuhisa Kurata, Jacob N Gloe, Eric A Borisch, Stephen J Riederer, Naoki Takahashi. Bias in deep learning-based image quality assessments of T2-weighted imaging in prostate MRI. Abdominal radiology (New York). 2025
  • Yukio Yamanishi, Yasushi Kotani, Aki Kido, Tomoyuki Otani, Yuki Himoto, Yasuhisa Kurata, Kosuke Murakami, Hisamitsu Takaya, Masahiro Sumitomo, Ikuko Emoto, et al. Differentiation of uterine fibroids and sarcomas by MRI and serum LDH levels: a multicenter study of the KAMOGAWA study. Journal of gynecologic oncology. 2025. 36. 4. e58
  • Mitsuhiro Kirita, Yuki Himoto, Yuka Kuriyama Matsumoto, Yasuhisa Kurata, Aki Kido, Yusuke Yamaoka, Koji Yamanoi, Masaki Mandai, Sachiko Minamiguchi, Yuji Nakamoto. A case of uterine leiomyosarcoma in a survivor of hereditary retinoblastoma. Abdominal radiology (New York). 2025
  • Kumi Harada, Yasuhisa Kurata, Yuki Himoto, Aki Kido, Mitsuhiro Kirita, Atsushi Yoshida, Yuka Kuriyama Matsumoto, Junzo Hamanishi, Sachiko Minamiguchi, Hiroaki Ito, et al. Differentiating uterine adenosarcoma from endometrial polyps: MRI imaging features. Abdominal radiology (New York). 2025
more...
MISC (15):
  • 初田 直駿, 倉田 靖桐, 樋本 祐紀, 森畠 裕策, 木戸 晶, 中本 裕士, 山口 建, 小林 恭, 南口 早智子. 卵巣海綿状血管腫 症例報告(Cavernous hemangioma of the ovary: A case report). Japanese Journal of Radiology. 2024. 42. Suppl. 31-31
  • 倉田 靖桐, 木戸 晶. 【押さえておくべき注目の疾患2021】(6章)女性生殖器 慢性早剥羊水過少症候群. 画像診断. 2021. 41. 5. 456-457
  • 倉田 靖桐. 【ビギナーのための腹部画像診断-Q & Aアプローチ-】(第9章)婦人科 (Q1)正常卵巣の同定方法を教えてください. 画像診断. 2021. 41. 4. S172-S173
  • 倉田 靖桐. 【ビギナーのための腹部画像診断-Q & Aアプローチ-】(第9章)婦人科 (Q4)卵巣の機能性嚢胞診断のポイントを教えてください. 画像診断. 2021. 41. 4. S178-S179
  • 倉田靖桐, 西尾瑞穂, 森畠裕策, 木戸晶, 中本裕士. Step up MRI 2021 II MRIにおけるAIの研究開発・臨床応用の最新動向 4.MR画像における子宮体がんの自動セグメンテーション. Innervision. 2021. 36. 9
more...
Lectures and oral presentations  (11):
  • Development and External Validation of a Deep Learning Model for Detecting Clinically Significant Prostate Cancer on Biparametric MRI Using a Large-Scale Multi-center Dataset
    (RSNA Annual Meeting)
  • Interactive Case Review (Pelvic Pain)
    (Asian Congress of Abdominal Radiology 2023)
  • Prediction of muscle invasion of bladder cancer on MRI with Vision Transformer
    (The 82nd Annual Meeting of the Japan Radiological Society)
  • Prediction of deep myometrial invasion of uterine endometrial cancer on MRI using Vision Transformer
    (Computer Assisted Radiology and Surgery 2022)
  • Automatic segmentation of bladder cancer on diffusion weighted images using a convolutional neural network
    (2022 ISMRM & SMRT Annual Meeting & Exhibition)
more...
Education (2):
  • 2014 - 2018 Kyoto university Graduate School of Medicine
  • 2001 - 2007 Kyoto University Faculty of Medicine
Awards (4):
  • 2023/05 - Asian society of abdominal radiology 2nd winner of E-poster competition
  • 2023/04 - Japan Radiological Society JRS presentation award (Bronze medal) Prediction of muscle invasion of bladder cancer on MRI with Vision Transformer
  • 2020/05 - Japan Radiological Society Itai Award Automatic segmentation of the uterus on MRI using a convolutional neural network
  • 2016/06 - Japanese Society of Abdominal Radiology Uchida Award MRI findings of chronic abruption-oligohydramnios sequence (CAOS): report of three cases
Association Membership(s) (3):
Japanese society of nuclear medicine ,  Japanese society of abdominal radiology ,  Japan radiological society
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