KUWAHARA TAKAMICHI 桑原崇通

… Alternative Names

Takamichi Kuwahara 桑原崇通

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Researcher Number	10816408
Other IDs
Affiliation (Current)	2022: 愛知県がんセンター(研究所), システム解析学分野, 研究員
Affiliation (based on the past Project Information) *help	2018 – 2021: 愛知県がんセンター(研究所), がん予防研究分野, 研究員
Review Section/Research Field	Principal Investigator Basic Section 53010:Gastroenterology-related Except Principal Investigator Basic Section 53010:Gastroenterology-related
Keywords	Principal Investigator 人工知能 / 膵臓 / 超音波内視鏡 / deep learning / 膵嚢胞 / IPMN / 膵腫瘍 / 膵管癌 / 膵神経内分泌腫瘍 / 慢性膵炎 … More Except Principal Investigator … More IPMN / AI / ノモグラム / 膵液細胞診 / 術後再発 / EUS / 良悪性診断 / 再発リスク / 膵癌 / 超音波内視鏡下穿刺吸引生検 / EUS-FNA / 人工知能 / 遺伝子解析 Less

validation analysis of usefulness for the diagnosis of pancreatic diseases using artificial intelligencePrincipal Investigator
- Principal Investigator
  
  桑原崇通
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 53010:Gastroenterology-related
- Research Institution
  Aichi Cancer Center Research Institute
Development of next generation diagnostic technologies using biopsy tissues of pancreatic carcinoma: pathological diagnosis with artificial intelligence and single cell gene expression analysis
- Principal Investigator
  
  北野雅之
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 53010:Gastroenterology-related
- Research Institution
  Wakayama Medical University
IPMNに対する良悪性診断と術後再発リスク因子の提唱
- Principal Investigator
  
  肱岡範
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 53010:Gastroenterology-related
- Research Institution
  National Cancer Center Japan
Automatic-diagnosis of panreatic diseases using artifical intelligencePrincipal Investigator
- Principal Investigator
  
  Takamichi Kuwahara
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 53010:Gastroenterology-related
- Research Institution
  Aichi Cancer Center Research Institute

All 2021 2020 2019 2018

All Journal Article Presentation Book

[Book] 【EUSの現状と将来】診断　人工知能(Deep learning)を用いたIPMN良悪　性診断の現状(解説/特集)2020
- Author(s)
  桑原崇通, 原和生, 水野伸匡, 羽場真, 奥野のぞみ, 清水泰博
- Total Pages
  7
- Publisher
  肝・胆・膵
- Data Source
  KAKENHI-PROJECT-19K08409
[Book] 【遭遇の機会が増えたIPMN/膵嚢胞-現状と課題】IPMN/膵嚢胞の診療　国内外におけるEUS-FNAの現状と嚢胞液解析を絡めた診断の展望(解説/特集)2019
- Author(s)
  桑原崇通, 原和生, 水野伸匡, 羽場真, 奥野のぞみ, 清水泰博
- Total Pages
  5
- Publisher
  臨床消化器内科
- Data Source
  KAKENHI-PROJECT-19K08409
[Journal Article] 人工知能（deep learning）を用いたIPMN良悪性診断の現状2020
- Author(s)
  桑原崇通、原和生、水野伸匡
- Journal Title
  
  消化器・肝臓内科
  
  Volume: 8 Pages: 1-7
- Data Source
  KAKENHI-PROJECT-19K08409
[Journal Article] 深層学習（Deep learning）を用いたIPMN良悪性診断2020
- Author(s)
  桑原崇通、原和生、水野伸匡
- Journal Title
  
  胆と膵
  
  Volume: 41 Pages: 801-806
- Data Source
  KAKENHI-PROJECT-19K08409
[Journal Article] AIを用いた自動診断の現状（EUS）2020
- Author(s)
  桑原崇通、原和生、水野伸匡
- Journal Title
  
  胆と膵
  
  Volume: 41 Pages: 1319-1322
- Data Source
  KAKENHI-PROJECT-19K08409
[Journal Article] Usefulness of septal thickness measurement on endoscopic2019
- Author(s)
  Iwaya H, Hijioka S, Mizuno N, Kuwahara T, Okuno N, Tajika M, Tanaka T, Ishihara M, Hirayama Y, Onishi S, Ito A, Kuraoka N, Matsumoto S, Polmanee P, Shimizu Y, Yatabe Y, Niwa Y, Tamada K, Ido A, Hara K.
- Journal Title
  
  Digestive Endoscopy
  
  Volume: 未 Pages: 672-681
- DOI
  10.1111/den.13408
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K09403, KAKENHI-PROJECT-19K08409
[Presentation] Deep learningを用いた膵腫瘍良悪性診断2021
- Author(s)
  桑原崇通,　原和生,　清水泰博
- Organizer
  第51回日本膵臓学会大会
- Data Source
  KAKENHI-PROJECT-18K15769
[Presentation] 超音波内視鏡画像を用いた膵疾患に対するAI診断の取り組み2021
- Author(s)
  桑原　崇通
- Organizer
  日本消化器病学会　第３回ビッグデータ・AI研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18K15769
[Presentation] 超音波内視鏡画像を用いた膵疾患に対するAI診断の取り組み2021
- Author(s)
  桑原崇通
- Organizer
  第３回ビッグデータ・AI研究会
- Invited
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] 人工知能を用いた膵疾患診断の有用性2020
- Author(s)
  桑原崇通,　原和生,　清水泰博
- Organizer
  第99回日本消化器内視鏡学会総会
- Data Source
  KAKENHI-PROJECT-18K15769
[Presentation] IPMN浸潤癌を適切に診断するための術前診断法2020
- Author(s)
  羽場　真，原　和生，清水　泰博，水野　伸匡，桑原　崇通，奥野　のぞみ，孝田　博輝，宮野　亮，千田　嘉毅，夏目　誠治，奥野　正隆，細田　和貴
- Organizer
  JDDW
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] IPMN併存浸潤性膵管癌の臨床的特徴と治療方針2020
- Author(s)
  羽場　真，原　和生，清水　泰博，水野　伸匡，桑原　崇通，奥野　のぞみ，孝田　博輝，宮野　亮，千田　嘉毅，夏目　誠治，奥野　正隆，細田　和貴.
- Organizer
  膵臓学会
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] 膵疾患診断AIの有効性と学習効率化への取り組み2020
- Author(s)
  桑原崇通、清水泰博、水野伸匡
- Organizer
  Japanese Digestive Disease Week (JDDW)2020
- Data Source
  KAKENHI-PROJECT-18K15769
[Presentation] 膵疾患診断AIの有効性と学習効率化への取り組み2020
- Author(s)
  桑原崇通、清水泰博、水野伸匡
- Organizer
  JDDW
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] 消化器疾患における最先端のトランスレーショナルリサーチ『IPMN良悪性診断におけるdeep learningの有用性』2020
- Author(s)
  桑原崇通　原和生　清水泰博
- Organizer
  消化器病学会総会
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in IPMN2020
- Author(s)
  Takamichi Kuwahara, Kazuo Hara, Yasuhiro Shimizu
- Organizer
  JDDW
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] AIを用いたIPMN良悪性診断の試み2019
- Author(s)
  桑原崇通　水野伸匡　原和生
- Organizer
  第105回日本消化器病学会総会
- Data Source
  KAKENHI-PROJECT-18K15769
[Presentation] IPMN切除例における膵外再発・残膵high risk lesion出現に関連する因子の検討2019
- Author(s)
  桑原崇通, 原和生, 清水泰博
- Organizer
  第50回日本膵臓学会大会
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] 人工知能を用いたIPMN良悪性診断の試み2019
- Author(s)
  桑原崇通、原和生、丹羽康正
- Organizer
  第105回日本消化器病学会総会
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] Deep learningを用いたIPMN良悪性診断2019
- Author(s)
  桑原崇通　奥野のぞみ　原和生
- Organizer
  JDDW2019
- Data Source
  KAKENHI-PROJECT-18K15769
[Presentation] Deep learningを用いたIPMN良悪性診断2019
- Author(s)
  桑原崇通　奥野のぞみ　原和生
- Organizer
  JDDW2019
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] 人工知能を用いたIPMN良悪性診断の試み2019
- Author(s)
  桑原崇通、原和生、丹羽康正
- Organizer
  第105回日本消化器病学会総会
- Data Source
  KAKENHI-PROJECT-18K15769
[Presentation] AIを用いたIPMN良悪性診断2019
- Author(s)
  桑原崇通、原和生、丹羽康正
- Organizer
  第97回日本消化器内視鏡学会総会
- Data Source
  KAKENHI-PROJECT-18K15769
[Presentation] AIを用いたIPMN良悪性診断2019
- Author(s)
  桑原崇通、原和生、丹羽康正
- Organizer
  第97回日本消化器内視鏡学会総会
- Data Source
  KAKENHI-PROJECT-19K08409
[Presentation] 嚢胞液解析を用いた膵嚢胞診断の現状とニューラルネットワークを用いた診断能向上の試み2018
- Author(s)
  栗田裕介　桑原崇通　原和生
- Organizer
  第104回日本消化器病学会総会
- Data Source
  KAKENHI-PROJECT-18K15769

1. 肱岡範 (50765394)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
2. 大塚隆生 (20372766)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 柳澤昭夫 (30137963)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 清水泰博 (40470166)

# of Collaborated Projects: 1 results

# of Collaborated Products: 9 results
5. 廣野誠子 (60468288)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 植木敏晴 (90352236)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 北野雅之 (50314571)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 橋本真一 (00313099)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 村田晋一 (20229991)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 蘆田玲子 (90570581)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 原和生 (80740258)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 越川卓 (80153526)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

KUWAHARA TAKAMICHI 桑原 崇通

Takamichi Kuwahara 桑原 崇通

Research Projects

Research Products

Co-Researchers

validation analysis of usefulness for the diagnosis of pancreatic diseases using artificial intelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of next generation diagnostic technologies using biopsy tissues of pancreatic carcinoma: pathological diagnosis with artificial intelligence and single cell gene expression analysis

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

IPMNに対する良悪性診断と術後再発リスク因子の提唱

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Automatic-diagnosis of panreatic diseases using artifical intelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Book] 【EUSの現状と将来】診断 人工知能(Deep learning)を用いたIPMN良悪 性診断の現状(解説/特集)2020

Author(s)

Total Pages

Publisher

Data Source

[Book] 【遭遇の機会が増えたIPMN/膵嚢胞-現状と課題】IPMN/膵嚢胞の診療 国内外におけるEUS-FNAの現状と嚢胞液解析を絡めた診断の展望(解説/特集)2019

Author(s)

Total Pages

Publisher

Data Source

[Journal Article] 人工知能（deep learning）を用いたIPMN良悪性診断の現状2020

Author(s)

Journal Title

Data Source

[Journal Article] 深層学習（Deep learning）を用いたIPMN良悪性診断2020

Author(s)

Journal Title

Data Source

[Journal Article] AIを用いた自動診断の現状（EUS）2020

Author(s)

Journal Title

Data Source

[Journal Article] Usefulness of septal thickness measurement on endoscopic2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] Deep learningを用いた膵腫瘍良悪性診断2021

Author(s)

Organizer

Data Source

[Presentation] 超音波内視鏡画像を用いた膵疾患に対するAI診断の取り組み2021

Author(s)

Organizer

Data Source

[Presentation] 超音波内視鏡画像を用いた膵疾患に対するAI診断の取り組み2021

Author(s)

Organizer

Data Source

[Presentation] 人工知能を用いた膵疾患診断の有用性2020

Author(s)

Organizer

Data Source

[Presentation] IPMN浸潤癌を適切に診断するための術前診断法2020

Author(s)

Organizer

Data Source

[Presentation] IPMN併存浸潤性膵管癌の臨床的特徴と治療方針2020

Author(s)

Organizer

Data Source

KUWAHARA TAKAMICHI 桑原崇通

Takamichi Kuwahara 桑原崇通

[Book] 【EUSの現状と将来】診断　人工知能(Deep learning)を用いたIPMN良悪　性診断の現状(解説/特集)2020

[Book] 【遭遇の機会が増えたIPMN/膵嚢胞-現状と課題】IPMN/膵嚢胞の診療　国内外におけるEUS-FNAの現状と嚢胞液解析を絡めた診断の展望(解説/特集)2019

[Presentation] 消化器疾患における最先端のトランスレーショナルリサーチ『IPMN良悪性診断におけるdeep learningの有用性』2020