Kiwaki Taichi 木脇太一

Researcher Number	70786011
Other IDs
Affiliation (Current)	2025: 高知大学, 教育研究部自然科学系理工学部門, 准教授
Affiliation (based on the past Project Information) *help	2023 – 2024: 高知大学, 教育研究部自然科学系理工学部門, 准教授 2018 – 2021: 東京大学, 大学院情報理工学系研究科, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / Basic Section 61040:Soft computing-related Except Principal Investigator Medium-sized Section 61:Human informatics and related fields
Keywords	Principal Investigator 緑内障 / 眼科学 / 機械学習 / 幾何学 / 多様体 / 最適輸送 / PCA / バッチ正規化 / 医療データマイニング / 医療画像分析 / 深層ニューラルネットワーク / マルチタスク学習 / ニューラルネットワーク … More Except Principal Investigator … More 生成系AI / 緑内障 / 記述長最小原理 / 機械学習 / 潜在空間 Less

潜在空間最適構成理論の構築と経済学、医学、生成系AIへの応用
- Principal Investigator
  
  山西健司
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  The University of Tokyo
幾何学的方法による緑内障データに対する機械学習法の構築Principal Investigator
- Principal Investigator
  
  木脇太一
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Kochi University
Ehanced training of complex deep neural networks via netural gradient learning realized with reparametrization techniquesPrincipal Investigator
- Principal Investigator
  
  Kiwaki Taichi
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  The University of Tokyo

All 2021 2020 2019 2018

All Journal Article Presentation

[Journal Article] Improving Visual Field Trend Analysis with OCT and Deeply Regularized Latent-Space Linear Regression2021
- Author(s)
  Xu Linchuan、Asaoka Ryo、Murata Hiroshi、Kiwaki Taichi、Zheng Yuhui、Matsuura Masato、Fujino Yuri、Tanito Masaki、Mori Kazuhiko、Ikeda Yoko、Kanamoto Takashi、Yamanishi Kenji
- Journal Title
  
  Ophthalmology Glaucoma
  
  Volume: 4 Issue: 1 Pages: 78-88
- DOI
  10.1016/j.ogla.2020.08.002
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K09795, KAKENHI-PROJECT-18K18121, KAKENHI-PROJECT-18KK0253, KAKENHI-PROJECT-19H01114
[Journal Article] Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field2021
- Author(s)
  Hashimoto Yohei、Kiwaki Taichi、Sugiura Hiroki、Asano Shotaro、Murata Hiroshi、Fujino Yuri、Matsuura Masato、Miki Atsuya、Mori Kazuhiko、Ikeda Yoko、Kanamoto Takashi、Yamagami Junkichi、Inoue Kenji、Tanito Masaki、Yamanishi Kenji、Asaoka Ryo
- Journal Title
  
  Translational Vision Science & Technology
  
  Volume: 10 Issue: 13 Pages: 28-28
- DOI
  10.1167/tvst.10.13.28
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18121, KAKENHI-PROJECT-20K09785, KAKENHI-PROJECT-20K09795, KAKENHI-PROJECT-19H01114
[Journal Article] A Joint Multitask Learning Model for Cross-sectional and Longitudinal Predictions of Visual Field Using OCT2021
- Author(s)
  Asaoka Ryo、Xu Linchuan、Murata Hiroshi、Kiwaki Taichi、Matsuura Masato、Fujino Yuri、Tanito Masaki、Mori Kazuhiko、Ikeda Yoko、Kanamoto Takashi、Inoue Kenji、Yamagami Jukichi、Yamanishi Kenji
- Journal Title
  
  Ophthalmology Science
  
  Volume: 1 Issue: 4 Pages: 100055-100055
- DOI
  10.1016/j.xops.2021.100055
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18121, KAKENHI-PROJECT-19H01114
[Journal Article] Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression2020
- Author(s)
  Xu Linchuan、Asaoka Ryo、Kiwaki Taichi、Murata Hiroshi、Fujino Yuri、Matsuura Masato、Hashimoto Yohei、Asano Shotaro、Miki Atsuya、Mori Kazuhiko、Ikeda Yoko、Kanamoto Takashi、Yamagami Junkichi、Inoue Kenji、Tanito Masaki、Yamanishi Kenji
- Journal Title
  
  American Journal of Ophthalmology
  
  Volume: 218 Pages: 304-313
- DOI
  10.1016/j.ajo.2020.04.037
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K09795, KAKENHI-PROJECT-18K18121, KAKENHI-PROJECT-18KK0253, KAKENHI-PROJECT-19H01114
[Journal Article] Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma2020
- Author(s)
  Hashimoto Yohei、Asaoka Ryo、Kiwaki Taichi、Sugiura Hiroki、Asano Shotaro、Murata Hiroshi、Fujino Yuri、Matsuura Masato、Miki Atsuya、Mori Kazuhiko、Ikeda Yoko、Kanamoto Takashi、Yamagami Junkichi、Inoue Kenji、Tanito Masaki、Yamanishi Kenji
- Journal Title
  
  British Journal of Ophthalmology
  
  Volume: 105 Issue: 4 Pages: 507-513
- DOI
  10.1136/bjophthalmol-2019-315600
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K09795, KAKENHI-PROJECT-18K18121, KAKENHI-PROJECT-19H01114
[Presentation] PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma2021
- Author(s)
  Xu Linchuan、Asaoka Ryo、Kiwaki Taichi、Murata Hiroshi、Fujino Yuri、Yamanishi Kenji
- Organizer
  27th ACM SIGKDD
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18121
[Presentation] Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression2019
- Author(s)
  Yuhui Zheng, Linchuan Xu, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
- Organizer
  25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18121
[Presentation] Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization2018
- Author(s)
  Suigura, Kiwaki, Yousefi, Murata, Asaoka, and Yamanishi
- Organizer
  24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18121

1. 山西健司 (90549180)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 朝岡亮 (00362202)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 谷戸正樹 (30284037)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 久野遼平 (60725018)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. SATO RYUICHI

# of Collaborated Projects: 0 results

# of Collaborated Products: 3 results
6. 池田陽子

# of Collaborated Projects: 0 results

# of Collaborated Products: 3 results
7. 森和彦

# of Collaborated Projects: 0 results

# of Collaborated Products: 3 results

Kiwaki Taichi 木脇 太一

Research Projects

Research Products

Co-Researchers

潜在空間最適構成理論の構築と経済学、医学、生成系AIへの応用

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

幾何学的方法による緑内障データに対する機械学習法の構築Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Ehanced training of complex deep neural networks via netural gradient learning realized with reparametrization techniquesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Improving Visual Field Trend Analysis with OCT and Deeply Regularized Latent-Space Linear Regression2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A Joint Multitask Learning Model for Cross-sectional and Longitudinal Predictions of Visual Field Using OCT2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma2021

Author(s)

Organizer

Data Source

[Presentation] Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression2019

Author(s)

Organizer

Data Source

[Presentation] Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization2018

Author(s)

Organizer

Data Source

Kiwaki Taichi 木脇太一