Yasaka Koichiro 八坂耕一郎

Researcher Number	40779659
Other IDs
Affiliation (Current)	2026: 東京大学, 医科学研究所, 講師 2026: 東京大学, 医学部附属病院, 届出診療員
Affiliation (based on the past Project Information) *help	2021 – 2024: 東京大学, 医学部附属病院, 助教 2018 – 2020: 東京大学, 医科学研究所, 助教
Review Section/Research Field	Principal Investigator Basic Section 52040:Radiological sciences-related
Keywords	Principal Investigator 深層学習 / 深層学習応用画像再構成法 / 自然言語処理 / 人工知能 / MRI / CT / 腹部画像診断 / 肝線維化staging / DXA / 腰椎 / 骨密度

Research Projects
(2 results)
Research Products
(44 results)

深層学習が放射線画像診断医の腹部悪性腫瘍検出能に及ぼす影響Principal Investigator
- Principal Investigator
  
  八坂耕一郎
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  The University of Tokyo
Application of deep learning to abdominal diagnostic imagingPrincipal Investigator
- Principal Investigator
  
  Yasaka Koichiro
- Project Period (FY)
  2018 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  The University of Tokyo

All 2024 2023 2022 2021 2020 2019 2018

All Journal Article Presentation Book

[Book] AI時代の放射線医学2022
- Author(s)
  八坂耕一郎
- Total Pages
  104
- Publisher
  北隆館
- Data Source
  KAKENHI-PROJECT-18K15542
[Book] 臨床画像　特別企画　放射線科スーパーセレクション2020　深層学習の画像診断への応用研究2020
- Author(s)
  八坂耕一郎, 赤井宏行, 國松聡
- Total Pages
  127
- Publisher
  MEDICAL VIEW
- Data Source
  KAKENHI-PROJECT-18K15542
[Book] 肝臓クリニカルアップデート　特集　肝疾患を取り巻くAI・技術革新　画像診断とAI・深層学習2019
- Author(s)
  八坂耕一郎, 赤井宏行, 國松聡, 桐生茂, 阿部修
- Total Pages
  114
- Publisher
  医学図書出版
- Data Source
  KAKENHI-PROJECT-18K15542
[Book] 臨床画像　特集　肝・胆画像診断のトピックス　腹部領域におけるradiomics2019
- Author(s)
  八坂耕一郎, 赤井宏行, 桐生茂
- Total Pages
  115
- Publisher
  MEDICAL VIEW
- Data Source
  KAKENHI-PROJECT-18K15542
[Book] 深層学習の肝画像診断への応用2019
- Author(s)
  八坂耕一郎, 赤井宏行, 國松聡, 桐生茂, 阿部修
- Total Pages
  370
- Publisher
  科学評論社
- Data Source
  KAKENHI-PROJECT-18K15542
[Journal Article] Effect of deep learning reconstruction on the assessment of pancreatic cystic lesions using computed tomography2024
- Author(s)
  Kanzawa Jun、Yasaka Koichiro、Ohizumi Yuji、Morita Yuichi、Kurokawa Mariko、Abe Osamu
- Journal Title
  
  Radiological Physics and Technology
  
  Volume: 17 Issue: 4 Pages: 827-833
- DOI
  10.1007/s12194-024-00834-6
- Data Source
  KAKENHI-PROJECT-22K15821
[Journal Article] New liver window width in detecting hepatocellular carcinoma on dynamic contrast-enhanced computed tomography with deep learning reconstruction2024
- Author(s)
  Okimoto Naomasa、Yasaka Koichiro、Cho Shinichi、Koshino Saori、Kanzawa Jun、Asari Yusuke、Fujita Nana、Kubo Takatoshi、Suzuki Yuichi、Abe Osamu
- Journal Title
  
  Radiological Physics and Technology
  
  Volume: 17 Issue: 3 Pages: 658-665
- DOI
  10.1007/s12194-024-00817-7
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K15821, KAKENHI-PROJECT-22K15877
[Journal Article] The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports2024
- Author(s)
  Kanemaru Noriko、Yasaka Koichiro、Fujita Nana、Kanzawa Jun、Abe Osamu
- Journal Title
  
  Journal of Imaging Informatics in Medicine
  
  Volume: 38 Issue: 2 Pages: 865-872
- DOI
  10.1007/s10278-024-01242-3
- Data Source
  KAKENHI-PROJECT-22K15821
[Journal Article] Deep learning reconstruction with single-energy metal artifact reduction in pelvic computed tomography for patients with metal hip prostheses2023
- Author(s)
  Hosoi Reina、Yasaka Koichiro、Mizuki Masumi、Yamaguchi Haruomi、Miyo Rintaro、Hamada Akiyoshi、Abe Osamu
- Journal Title
  
  Japanese Journal of Radiology
  
  Volume: N/A Issue: 8 Pages: 863-871
- DOI
  10.1007/s11604-023-01402-5
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K15821, KAKENHI-PROJECT-18K15542
[Journal Article] Effects of deep learning on radiologists’ and radiology residents’ performance in identifying esophageal cancer on CT2023
- Author(s)
  Yasaka Koichiro、Hatano Sosuke、Mizuki Masumi、Okimoto Naomasa、Kubo Takatoshi、Shibata Eisuke、Watadani Takeyuki、Abe Osamu
- Journal Title
  
  The British Journal of Radiology
  
  Volume: N/A Issue: 1150
- DOI
  10.1259/bjr.20220685
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K15821, KAKENHI-PROJECT-18K15542
[Journal Article] Improving detection performance of hepatocellular carcinoma and interobserver agreement for liver imaging reporting and data system on CT using deep learning reconstruction2023
- Author(s)
  Okimoto Naomasa、Yasaka Koichiro、Kaiume Masafumi、Kanemaru Noriko、Suzuki Yuichi、Abe Osamu
- Journal Title
  
  Abdominal Radiology
  
  Volume: N/A Issue: 4 Pages: 1280-1289
- DOI
  10.1007/s00261-023-03834-z
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K15542, KAKENHI-PROJECT-22K15821
[Journal Article] Deep-learning reconstruction for the evaluation of lumbar spinal stenosis in computed tomography2023
- Author(s)
  Miyo Rintaro、Yasaka Koichiro、Hamada Akiyoshi、Sakamoto Naoya、Hosoi Reina、Mizuki Masumi、Abe Osamu
- Journal Title
  
  Medicine
  
  Volume: 102 Issue: 23 Pages: e33910-e33910
- DOI
  10.1097/md.0000000000033910
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K15821
[Journal Article] Assessing the Effects of Deep Learning Reconstruction on Abdominal CT Without Arm Elevation2023
- Author(s)
  Fujita Nana、Yasaka Koichiro、Katayama Akira、Ohtake Yuta、Konishiike Mao、Abe Osamu
- Journal Title
  
  Canadian Association of Radiologists Journal
  
  Volume: 74 Issue: 4 Pages: 688-694
- DOI
  10.1177/08465371231169672
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K15821
[Journal Article] RSNA2020でのAIの動向2021
- Author(s)
  八坂耕一郎
- Journal Title
  
  Rad Fan
  
  Volume: 19 Pages: 23-25
- Data Source
  KAKENHI-PROJECT-18K15542
[Journal Article] Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network.2020
- Author(s)
  Yasaka K, Akai H, Kunimatsu A, Kiryu S, Abe O.
- Journal Title
  
  European Radiology
  
  Volume: 30(6) Issue: 6 Pages: 3549-3557
- DOI
  10.1007/s00330-020-06677-0
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K15542
[Journal Article] 深層学習の画像診断への応用研究2020
- Author(s)
  八坂耕一郎
- Journal Title
  
  臨床画像
  
  Volume: 36 Pages: 445-451
- Data Source
  KAKENHI-PROJECT-18K15542
[Journal Article] 深層学習を用いたMRI最新技術の現状と展望2020
- Author(s)
  八坂耕一郎
- Journal Title
  
  インナービジョン
  
  Volume: 35 Pages: 22-25
- Data Source
  KAKENHI-PROJECT-18K15542
[Journal Article] Deep learning for staging liver fibrosis on CT: a pilot study2018
- Author(s)
  Yasaka Koichiro、Akai Hiroyuki、Kunimatsu Akira、Abe Osamu、Kiryu Shigeru
- Journal Title
  
  European Radiology
  
  Volume: 28 Issue: 11 Pages: 4578-4585
- DOI
  10.1007/s00330-018-5499-7
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] 深層学習画像再構成の臨床応用2024
- Author(s)
  八坂耕一郎
- Organizer
  第11回相模原医用画像セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-22K15821
[Presentation] IVRの画像診断報告書に基づく手技の自動分類：自然言語処理モデルを用いた検討2024
- Author(s)
  八坂耕一郎、阿部修
- Organizer
  第52回断層映像研究会
- Data Source
  KAKENHI-PROJECT-22K15821
[Presentation] DLRによる高画質化が画像診断にもたらすインパクト2023
- Author(s)
  八坂耕一郎
- Organizer
  第59回日本医学放射線学会秋季臨床大会
- Invited
- Data Source
  KAKENHI-PROJECT-22K15821
[Presentation] [シンポジウム] 「AIがMRIにもたらす影響：上腹部への応用とその他臨床応用への注意点」肝疾患における深層学習の有用性2022
- Author(s)
  八坂耕一郎
- Organizer
  第50回日本磁気共鳴医学会大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [シンポジウム] 「AIがMRIにもたらす影響：上腹部への応用とその他臨床応用への注意点」肝疾患における深層学習の有用性2022
- Author(s)
  八坂耕一郎
- Organizer
  第50回日本磁気共鳴医学会大会
- Invited
- Data Source
  KAKENHI-PROJECT-22K15821
[Presentation] [シンポジウム] てんかんのAI診断～どこまで来たのか、どこへ向かうのか～ AIを用いた画像診断2022
- Author(s)
  八坂耕一郎
- Organizer
  第55回日本てんかん学会学術集会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [JRS Liver forum] Artificial intelligence (AI) in liver imaging2022
- Author(s)
  八坂耕一郎
- Organizer
  第81回日本医学放射線学会総会
- Invited
- Data Source
  KAKENHI-PROJECT-22K15821
[Presentation] [Special Lecture] Deep learning reconstruction for neuroimaging2022
- Author(s)
  Koichiro Yasaka
- Organizer
  The 4th Annual Scientific Meeting of Asian Society of Magnetic Resonance in Medicine
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K15821
[Presentation] [JRS Liver forum] Artificial intelligence (AI) in liver imaging2022
- Author(s)
  八坂耕一郎
- Organizer
  第81回日本医学放射線学会総会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [Special Lecture] Deep learning reconstruction for neuroimaging2022
- Author(s)
  Koichiro Yasaka
- Organizer
  The 4th Annual Scientific Meeting of Asian Society of Magnetic Resonance in Medicine
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [ハンズオン・セミナー] 医用画像を対象とする分類問題2022
- Author(s)
  八坂耕一郎
- Organizer
  第3回画像診断のためのディープラーニングハンズオン・セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-22K15821
[Presentation] [ハンズオン・セミナー] 医用画像を対象とする分類問題2022
- Author(s)
  八坂耕一郎
- Organizer
  第3回画像診断のためのディープラーニングハンズオン・セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [シンポジウム] てんかんのAI診断～どこまで来たのか、どこへ向かうのか～ AIを用いた画像診断2022
- Author(s)
  八坂耕一郎
- Organizer
  第55回日本てんかん学会学術集会
- Invited
- Data Source
  KAKENHI-PROJECT-22K15821
[Presentation] AIを用いた画像診断：現状と課題2021
- Author(s)
  八坂耕一郎
- Organizer
  日本脳神経外科学会第80回学術総会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] 腹部画像診断における深層学習の応用2021
- Author(s)
  Yasaka K, Sugawara H, Akai H, Kunimatsu A, Abe O
- Organizer
  第80回日本医学放射線学会総会
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] 深層学習の放射線医学応用研究におけるコツ2020
- Author(s)
  八坂耕一郎
- Organizer
  第79回日本医学放射線学会総会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] Challenges in MRI Liver Interpretation: Emerging Solutions2020
- Author(s)
  Koichiro Yasaka
- Organizer
  28th ISMRM Annual Meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [特別講演] Deep learningの手法と臨床応用2019
- Author(s)
  八坂耕一郎
- Organizer
  第7回金沢兼六画像診断研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [特別講演] AI・深層学習と放射線画像診断2019
- Author(s)
  八坂耕一郎
- Organizer
  第13回埼玉西部放射線医学セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [シンポジウム] AI時代の放射線診断医「Methodology of deep learning (深層学習の手法について－放射線領域への応用を念頭に－)」2019
- Author(s)
  八坂耕一郎
- Organizer
  第78回日本医学放射線学会総会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [ワークショップ] 肝画像診断の進歩：現状の把握と今後の展望「深層学習の肝画像診断への応用」2019
- Author(s)
  八坂耕一郎
- Organizer
  第55回日本肝臓学会総会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [指定シンポジウム] 医療の近未来とAI 深層学習の放射線画像診断への応用2019
- Author(s)
  八坂耕一郎, 赤井宏行, 國松聡, 桐生茂, 阿部修
- Organizer
  日本脳神経外科学会第78回学術総会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] 深層学習法によるCT画像からDEXA法骨密度値推定2019
- Author(s)
  八坂耕一郎, 赤井宏行, 國松聡, 桐生茂, 阿部修
- Organizer
  第55回日本医学放射線学会秋季臨床大会
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [シンポジウム] MRIによる肝線維化診断：深層学習を用いた評価法を中心に2019
- Author(s)
  八坂耕一郎
- Organizer
  第47回日本磁気共鳴医学会大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] [基調講演] 人工知能・深層学習の肝疾患診療へのインパクト2018
- Author(s)
  八坂耕一郎
- Organizer
  第58回肝癌症例検討会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15542
[Presentation] 肝dynamic造影CTによる肝線維化staging：深層学習法を用いた検討2018
- Author(s)
  Yasaka K, Akai H, Kunimatsu A, Kiryu S, Abe O
- Organizer
  第54回日本医学放射線学会秋季臨床大会
- Data Source
  KAKENHI-PROJECT-18K15542

Yasaka Koichiro 八坂 耕一郎

Research Projects

Research Products

深層学習が放射線画像診断医の腹部悪性腫瘍検出能に及ぼす影響Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Application of deep learning to abdominal diagnostic imagingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Book] AI時代の放射線医学2022

Author(s)

Total Pages

Publisher

Data Source

[Book] 臨床画像 特別企画 放射線科スーパーセレクション2020 深層学習の画像診断への応用研究2020

Author(s)

Total Pages

Publisher

Data Source

[Book] 肝臓クリニカルアップデート 特集 肝疾患を取り巻くAI・技術革新 画像診断とAI・深層学習2019

Author(s)

Total Pages

Publisher

Data Source

[Book] 臨床画像 特集 肝・胆画像診断のトピックス 腹部領域におけるradiomics2019

Author(s)

Total Pages

Publisher

Data Source

[Book] 深層学習の肝画像診断への応用2019

Author(s)

Total Pages

Publisher

Data Source

[Journal Article] Effect of deep learning reconstruction on the assessment of pancreatic cystic lesions using computed tomography2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] New liver window width in detecting hepatocellular carcinoma on dynamic contrast-enhanced computed tomography with deep learning reconstruction2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep learning reconstruction with single-energy metal artifact reduction in pelvic computed tomography for patients with metal hip prostheses2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Effects of deep learning on radiologists’ and radiology residents’ performance in identifying esophageal cancer on CT2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Improving detection performance of hepatocellular carcinoma and interobserver agreement for liver imaging reporting and data system on CT using deep learning reconstruction2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep-learning reconstruction for the evaluation of lumbar spinal stenosis in computed tomography2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Assessing the Effects of Deep Learning Reconstruction on Abdominal CT Without Arm Elevation2023

Author(s)

Journal Title

DOI

Data Source

Yasaka Koichiro 八坂耕一郎

[Book] 臨床画像　特別企画　放射線科スーパーセレクション2020　深層学習の画像診断への応用研究2020

[Book] 肝臓クリニカルアップデート　特集　肝疾患を取り巻くAI・技術革新　画像診断とAI・深層学習2019

[Book] 臨床画像　特集　肝・胆画像診断のトピックス　腹部領域におけるradiomics2019