yano tomonori 矢野友規

Researcher Number	70505883
Other IDs
Affiliation (Current)	2025: 国立研究開発法人国立がん研究センター, 東病院, 科長
Affiliation (based on the past Project Information) *help	2021 – 2024: 国立研究開発法人国立がん研究センター, 東病院, 科長
Review Section/Research Field	Principal Investigator Basic Section 90110:Biomedical engineering-related Except Principal Investigator Basic Section 90110:Biomedical engineering-related / Basic Section 90130:Medical systems-related
Keywords	Principal Investigator 光免疫療法 / 光線力学療法 / 蛍光イメージング Except Principal Investigator 断層画像 / 顕微鏡画像 / 非侵襲的計測 / 新生血管 / 時空間情報 / 内視鏡 / 酸素飽和度 … More / 胃がん / 深層学習 / 人工知能 / 消化器内視鏡 / 画像診断 Less

The development of fluorescent measuring method in deep area of tumor tissue and prediction of anti-tumor effect of photodynamic therapy.Principal Investigator
- Principal Investigator
  
  矢野友規
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90110:Biomedical engineering-related
- Research Institution
  National Cancer Center Japan
Photoacoustic imaging for hypoxia in tumor microenvironment through oxygen supplying vessels
- Principal Investigator
  
  石原美弥
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 90110:Biomedical engineering-related
- Research Institution
  National Defense Medical College
Development of AI-based diagnostic imaging method utilizing functional features for early gastric cancer
- Principal Investigator
  
  竹本智子
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Institute of Physical and Chemical Research

All 2023 2021

All Journal Article

[Journal Article] Immunohistochemistry and oxygen saturation endoscopic imaging reveal hypoxia in submucosal invasive esophageal squamous cell carcinoma2023
- Author(s)
  Minakata Nobuhisa、Sakashita Shingo、Wakabayashi Masashi、Nakamura Yuka、Sunakawa Hironori、Yoda Yusuke、Ishii Genichiro、Yano Tomonori
- Journal Title
  
  Cancer Medicine
  
  Volume: 12 Issue: 15 Pages: 15809-15819
- DOI
  10.1002/cam4.6217
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K06899, KAKENHI-PROJECT-23K28418
[Journal Article] Computer-aided demarcation of early gastric cancer: a pilot comparative study with endoscopists2023
- Author(s)
  Takemoto Satoko、Hori Keisuke、Yoshimasa Sakai、Nishimura Masaomi、Nakajo Keiichiro、Inaba Atsushi、Sasabe Maasa、Aoyama Naoki、Watanabe Takashi、Minakata Nobuhisa、Ikematsu Hiroaki、Yokota Hideo、Yano Tomonori
- Journal Title
  
  Journal of Gastroenterology
  
  Volume: 58 Issue: 8 Pages: 741-750
- DOI
  10.1007/s00535-023-02001-x
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K12742
[Journal Article] Computer-aided demarcation of early gastric cancer: a pilot comparative study with endoscopists2023
- Author(s)
  Satoko Takemoto, Keisuke Hori, Yoshimasa Sakai, Masaomi Nishimura, Keiichiro Nakajo, Atsushi Inaba, Maasa Sasabe, Naoki Aoyama, Takashi Watanabe, Nobuhisa Minakata, Hiroaki Ikematsu, Hideo Yokota,Tomonori Yano
- Journal Title
  
  Journal of Gastroenterology
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K12742
[Journal Article] 今月の主題消化管疾患AI診断の現状主題胃疾患におけるAI診断-高効率な学習スキームによる胃癌の領域検出AI2021
- Author(s)
  堀圭介、竹本智子、横田秀夫、池松弘朗、矢野友規
- Journal Title
  
  胃と腸
  
  Volume: 56 Issue: 4 Pages: 423-431
- DOI
  10.11477/mf.1403202297
- ISSN
  0536-2180, 1882-1219
- Year and Date
  2021-04-25
- Data Source
  KAKENHI-PROJECT-21K12742
[Journal Article] Detecting colon polyps in endoscopic images using artificial intelligence constructed with automated collection of annotated images from an endoscopy reporting system2021
- Author(s)
  Hori Keisuke、Ikematsu Hiroaki、Yamamoto Yoichi、Matsuzaki Hiroki、Takeshita Nobuyoshi、Shinmura Kensuke、Yoda Yusuke、Kiuchi Takayoshi、Takemoto Satoko、Yokota Hideo、Yano Tomonori
- Journal Title
  
  Digestive Endoscopy
  
  Volume: - Issue: 5 Pages: 1021-1029
- DOI
  10.1111/den.14185
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K12742

1. 竹本智子 (00450403)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
2. 横田秀夫 (00261206)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
3. 高松利寛 (10734949)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 石原美弥 (30505342)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 坂下信悟

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

yano tomonori 矢野 友規

Research Projects

Research Products

Co-Researchers

The development of fluorescent measuring method in deep area of tumor tissue and prediction of anti-tumor effect of photodynamic therapy.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Photoacoustic imaging for hypoxia in tumor microenvironment through oxygen supplying vessels

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of AI-based diagnostic imaging method utilizing functional features for early gastric cancer

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Immunohistochemistry and oxygen saturation endoscopic imaging reveal hypoxia in submucosal invasive esophageal squamous cell carcinoma2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Computer-aided demarcation of early gastric cancer: a pilot comparative study with endoscopists2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Computer-aided demarcation of early gastric cancer: a pilot comparative study with endoscopists2023

Author(s)

Journal Title

Data Source

[Journal Article] 今月の主題 消化管疾患AI診断の現状 主題 胃疾患におけるAI診断-高効率な学習スキームによる胃癌の領域検出AI2021

Author(s)

Journal Title

DOI

ISSN

Year and Date

Data Source

[Journal Article] Detecting colon polyps in endoscopic images using artificial intelligence constructed with automated collection of annotated images from an endoscopy reporting system2021

Author(s)

Journal Title

DOI

Data Source

yano tomonori 矢野友規

[Journal Article] 今月の主題消化管疾患AI診断の現状主題胃疾患におけるAI診断-高効率な学習スキームによる胃癌の領域検出AI2021