KOUYAMA YUUTA 神山勇太

… Alternative Names

神山勇太コウヤマユウタ

Kouyama Yuta 神山勇太

Less

Researcher Number	40621719
Other IDs
Affiliation (Current)	2025: 昭和大学, 医学部, 助教
Affiliation (based on the past Project Information) *help	2022 – 2023: 昭和大学, 医学部, 助教 2017 – 2018: 昭和大学, 医学部, 助教
Review Section/Research Field	Principal Investigator Basic Section 53010:Gastroenterology-related / Experimental pathology Except Principal Investigator Basic Section 53010:Gastroenterology-related
Keywords	Principal Investigator 大腸内視鏡 / 遺伝子発現 / CMS / 病理AI / リンパ節転移 / 内視鏡 / AI / サブタイプ / 大腸癌 / 発癌機序 … More / multi-regional analysis / De novo 癌 / コピー数変異 / 次世代シーケンサー / 遺伝子変異 / 次世代シークエンサー / 染色体増幅 / 早期大腸癌 / 陥凹型大腸癌 … More Except Principal Investigator オルガノイド / 患者由来オルガノイド / 陥凹型早期大腸癌 Less

陥凹型早期癌のオルガノイドを用いた大腸癌浸潤・転移の再現と機序解明
- Principal Investigator
  
  工藤進英
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 53010:Gastroenterology-related
- Research Institution
  Showa University
大腸癌の遺伝子サブタイプを予測するAI内視鏡診断システムの確立Principal Investigator
- Principal Investigator
  
  神山勇太
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 53010:Gastroenterology-related
- Research Institution
  Showa University
Elucidation of genes involved in the evolution of de novo colorectal cancer using next-generation sequencerPrincipal Investigator
- Principal Investigator
  
  Kouyama Yuta
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Experimental pathology
- Research Institution
  Showa University

All 2023 2022 2019 2018

All Journal Article Presentation

[Journal Article] Whole slide image-based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence2023
- Author(s)
  Yuki Takashina , Shin-Ei Kudo, Yuta Kouyama , Katsuro Ichimasa , Hideyuki Miyachi , Masashi Misawa, et. al
- Journal Title
  
  Digestive Endoscopy
  
  Volume: 未 Issue: 7 Pages: 902-908
- DOI
  10.1111/den.14547
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K15979
[Journal Article] Endoscopic resection alone as a potential treatment method for low-risk deep invasive T1 colorectal cancer2023
- Author(s)
  Kouyama Yuta、Kudo Shin-ei、Ichimasa Katsuro、Matsudaira Shingo、Ogawa Yushi、Mochizuki Kenichi、Takashina Yuki、Sato Yuta、Sakurai Tatsuya、Maeda Yasuharu、Nakamura Hiroki、Misawa Masashi、Mori Yuichi、Kudo Toyoki、Hayashi Takemasa、Wakamura Kunihiko、Nemoto Tetsuo、Baba Toshiyuki、Ishida Fumio、Miyachi Hideyuki
- Journal Title
  
  iGIE
  
  Volume: 2 Issue: 4 Pages: 503-509.e1
- DOI
  10.1016/j.igie.2023.09.007
- Data Source
  KAKENHI-PROJECT-22K15979
[Journal Article] Molecular and clinicopathological differences between depressed and protruded T2 colorectal cancer.2022
- Author(s)
  Mochizuki K, Kudo SE, Kato K, Kudo K, Ogawa Y, Kouyama Y, Takashina Y, Ichimasa K, Tobo T, Toshima T, Hisamatsu Y, Yonemura Y, Masuda T, Miyachi H, Ishida F, Nemoto T, Mimori K.
- Journal Title
  
  PLoS One.
  
  Volume: 17(10) Issue: 10 Pages: 17-17
- DOI
  10.1371/journal.pone.0273566
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K07179, KAKENHI-PROJECT-22K08894, KAKENHI-PROJECT-22K09006, KAKENHI-PROJECT-22K15979, KAKENHI-PROJECT-23K24164
[Presentation] A Novel AI System for Predicting Lymph Node Metastasis in T1 Colorectal Cancer Using Whole Slide Images2023
- Author(s)
  神山勇太、工藤進英、高階祐輝、一政克朗、三澤将史 et.al
- Organizer
  UEGW
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K15979
[Presentation] Whole slide image AI解析による大腸T1癌のリンパ節転移予測2023
- Author(s)
  神山勇太、工藤進英、三澤将史
- Organizer
  JDDW
- Data Source
  KAKENHI-PROJECT-22K15979
[Presentation] Molecular characteristics of the depressed early colorectal cancers (depressed CRC)2019
- Author(s)
  Yuta Kouyama, Shin-ei Kudo, Koshi Mimori
- Organizer
  UEGW
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15670
[Presentation] The molecular characteristics of depressed colorectal cancer (CRC)2018
- Author(s)
  Yuta Kouyama, Shin-ei Kudo, Koshi Mimori
- Organizer
  第77回日本癌学会学術総会
- Data Source
  KAKENHI-PROJECT-17K15670

1. 三森功士 (50322748)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
2. 工藤進英 (70161643)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 佐藤俊朗 (70365245)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 宮地英行 (10459208)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 米村祐輔

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

KOUYAMA YUUTA 神山 勇太

神山 勇太 コウヤマ ユウタ

Kouyama Yuta 神山 勇太

Research Projects

Research Products

Co-Researchers

陥凹型早期癌のオルガノイドを用いた大腸癌浸潤・転移の再現と機序解明

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

大腸癌の遺伝子サブタイプを予測するAI内視鏡診断システムの確立Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Elucidation of genes involved in the evolution of de novo colorectal cancer using next-generation sequencerPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Whole slide image-based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Endoscopic resection alone as a potential treatment method for low-risk deep invasive T1 colorectal cancer2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Molecular and clinicopathological differences between depressed and protruded T2 colorectal cancer.2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] A Novel AI System for Predicting Lymph Node Metastasis in T1 Colorectal Cancer Using Whole Slide Images2023

Author(s)

Organizer

Data Source

[Presentation] Whole slide image AI解析による大腸T1癌のリンパ節転移予測2023

Author(s)

Organizer

Data Source

[Presentation] Molecular characteristics of the depressed early colorectal cancers (depressed CRC)2019

Author(s)

Organizer

Data Source

[Presentation] The molecular characteristics of depressed colorectal cancer (CRC)2018

Author(s)

Organizer

Data Source

KOUYAMA YUUTA 神山勇太

神山勇太コウヤマユウタ

Kouyama Yuta 神山勇太