Yamaguchi Hiroyuki 山口博行

Researcher Number	40822557
Other IDs	https://orcid.org/0000-0002-4557-4804
Affiliation (Current)	2025: 国立研究開発法人国立精神・神経医療研究センター, 神経研究所疾病研究第七部, 科研費研究員
Affiliation (based on the past Project Information) *help	2022 – 2023: 国立研究開発法人国立精神・神経医療研究センター, 神経研究所疾病研究第七部, 科研費研究員 2021: 国立研究開発法人国立精神・神経医療研究センター, 神経研究所疾病研究第七部, リサーチフェロー 2019 – 2020: 国立研究開発法人国立精神・神経医療研究センター, 神経研究所疾病研究第七部, 科研費研究員
Review Section/Research Field	Principal Investigator Basic Section 52030:Psychiatry-related
Keywords	Principal Investigator 次元的アプローチ / 脳画像 / 精神疾患 / 人工知能 / 機械学習 / 深層学習 / 生成系 / 生成AI

生成系深層学習を用いた精神疾患脳画像の次元的アプローチPrincipal Investigator
- Principal Investigator
  
  山口博行
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52030:Psychiatry-related
- Research Institution
  National Center of Neurology and Psychiatry
Application of deep learning to neuroimaging of psychiatric disorders with dimensional approachPrincipal Investigator
- Principal Investigator
  
  Yamaguchi Hiroyuki
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52030:Psychiatry-related
- Research Institution
  National Center of Neurology and Psychiatry

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease2024
- Author(s)
  Wang Caihua、Tachimori Hisateru、Yamaguchi Hiroyuki、Sekiguchi Atsushi、Li Yuanzhong、Yamashita Yuichi、for Alzheimer’s Disease Neuroimaging Initiative
- Journal Title
  
  Translational Psychiatry
  
  Volume: 14 Issue: 1 Pages: 105-105
- DOI
  10.1038/s41398-024-02819-w
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K15777
[Journal Article] 自己教師あり深層学習を用いた精神疾患脳画像研究2023
- Author(s)
  山口博行 , 山下祐一
- Journal Title
  
  精神医学
  
  Volume: 65 Pages: 1064-1074
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K15777
[Journal Article] A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data2022
- Author(s)
  Wang Caihua、Li Yuanzhong、Tsuboshita Yukihiro、Sakurai Takuya、Goto Tsubasa、Yamaguchi Hiroyuki、Yamashita Yuichi、Sekiguchi Atsushi、Tachimori Hisateru、Wang Caihua、Li Yuanzhong、Goto Tsubasa、for the Alzheimer’s Disease Neuroimaging Initiative
- Journal Title
  
  npj Digital Medicine
  
  Volume: 5 Issue: 1 Pages: 43-43
- DOI
  10.1038/s41746-022-00577-x
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K15777
[Journal Article] Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets2021
- Author(s)
  Yamaguchi Hiroyuki、Hashimoto Yuki、Sugihara Genichi、Miyata Jun、Murai Toshiya、Takahashi Hidehiko、Honda Manabu、Hishimoto Akitoyo、Yamashita Yuichi
- Journal Title
  
  Frontiers in Neuroscience
  
  Volume: 15 Pages: 652987-652987
- DOI
  10.3389/fnins.2021.652987
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K07597, KAKENHI-PLANNED-16H06572, KAKENHI-PROJECT-20H00625, KAKENHI-PROJECT-19H03583, KAKENHI-PROJECT-21H02852, KAKENHI-PROJECT-20K21567, KAKENHI-PROJECT-19K17077, KAKENHI-PROJECT-20KK0194, KAKENHI-PROJECT-20H00001
[Presentation] 脳アミロイド血管症における認知機能障害の特徴の検討2023
- Author(s)
  山口博行, 川越泰子, 木谷卓矢, 塩崎一昌
- Organizer
  第42回日本認知症学会学術集会
- Data Source
  KAKENHI-PROJECT-22K15777
[Presentation] 深深層学習を用いた MRI画像の施設間差補正2022
- Author(s)
  清水正彬, 杉原玄一, 山口博行, 山下祐一, 高橋英彦
- Organizer
  第24回日本ヒト脳機能マッピング学会
- Data Source
  KAKENHI-PROJECT-19K17077
[Presentation] 深層学習を用いた統合失調症脳画像の生成2022
- Author(s)
  山口博行, 清水正彬, 杉原玄一, 菱本明豊, 本田学, 山下祐一
- Organizer
  第24回日本ヒト脳機能マッピング学会
- Data Source
  KAKENHI-PROJECT-19K17077
[Presentation] 生成系深層学習を使った精神疾患脳構造画像変換の検討2022
- Author(s)
  山口博行, 清水正彬, 杉原玄一, 菱本明豊, 本田学, 山下祐一
- Organizer
  第118回日本精神神経学会学術総会
- Data Source
  KAKENHI-PROJECT-22K15777
[Presentation] 生成系深層学習を使った精神疾患脳構造画像変換の検討2022
- Author(s)
  山口博行, 清水正彬, 杉原玄一, 菱本明豊, 本田学, 山下祐一
- Organizer
  第118回日本精神神経学会学術総会
- Data Source
  KAKENHI-PROJECT-19K17077
[Presentation] Feature extraction for Schizophrenia brain image using Convolutional neural network2020
- Author(s)
  Hiroyuki Yamaguchi, Yuki Hashimoto, Genichi Sugihara, Jun Miyata, Toshiya Murai, Hidehiko Takahashi, Manabu Honda, Yuichi Yamashita
- Organizer
  International Symposium on Artificial Intelligence and Brain Science
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K17077
[Presentation] 深層学習を使った精神疾患脳構造画像の特徴量抽出2020
- Author(s)
  山口博行, 橋本侑樹, 杉原玄一, 宮田淳, 村井俊哉, 高橋英彦, 本田学, 山下祐一
- Organizer
  第116回日本精神神経学会学術総会
- Data Source
  KAKENHI-PROJECT-19K17077
[Presentation] Extracting features from structural brain image using convolutional autoencoder2019
- Author(s)
  Hiroyuki Yamaguchi, Yuki Hashimoto, Genichi Sugihara, Jun Miyata, Toshiya Murai, Hidehiko Takahashi, Manabu Honda, Yuichi Yamashita
- Organizer
  第3回ヒト脳イメージング研究会
- Data Source
  KAKENHI-PROJECT-19K17077
[Presentation] Extracting feature from structural brain image using convolutional auto-encoder2019
- Author(s)
  Hiroyuki Yamaguchi, Yuki Hashimoto, Genichi Sugihara, Jun Miyata, Toshiya Murai, Hidehiko Takahashi, Manabu Honda, Yuichi Yamashita
- Organizer
  the 25th Annual Meeting of the Organization for Human Brain Mapping
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K17077

1. 杉原玄一

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
2. 山下祐一

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Yamaguchi Hiroyuki 山口 博行

Research Projects

Research Products

Co-Researchers

生成系深層学習を用いた精神疾患脳画像の次元的アプローチPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Application of deep learning to neuroimaging of psychiatric disorders with dimensional approachPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 自己教師あり深層学習を用いた精神疾患脳画像研究2023

Author(s)

Journal Title

Data Source

[Journal Article] A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] 脳アミロイド血管症における認知機能障害の特徴の検討2023

Author(s)

Organizer

Data Source

[Presentation] 深深層学習を用いた MRI画像の施設間差補正2022

Author(s)

Organizer

Data Source

[Presentation] 深層学習を用いた統合失調症脳画像の生成2022

Author(s)

Organizer

Data Source

[Presentation] 生成系深層学習を使った精神疾患脳構造画像変換の検討2022

Author(s)

Organizer

Data Source

[Presentation] 生成系深層学習を使った精神疾患脳構造画像変換の検討2022

Author(s)

Organizer

Data Source

[Presentation] Feature extraction for Schizophrenia brain image using Convolutional neural network2020

Author(s)

Organizer

Data Source

[Presentation] 深層学習を使った精神疾患脳構造画像の特徴量抽出2020

Author(s)

Organizer

Data Source

[Presentation] Extracting features from structural brain image using convolutional autoencoder2019

Author(s)

Organizer

Data Source

[Presentation] Extracting feature from structural brain image using convolutional auto-encoder2019

Author(s)

Organizer

Data Source

Yamaguchi Hiroyuki 山口博行