MARIYA TASUKU 真里谷奨

… Alternative Names

Mariya Tasuku 真里谷奨

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Researcher Number	50836757
Other IDs	https://orcid.org/0000-0002-7110-980X
Affiliation (Current)	2024: 札幌医科大学, 医学部, 助教
Affiliation (based on the past Project Information) *help	2020 – 2024: 札幌医科大学, 医学部, 助教
Review Section/Research Field	Principal Investigator Basic Section 56040:Obstetrics and gynecology-related / Basic Section 50010:Tumor biology-related Except Principal Investigator Basic Section 56040:Obstetrics and gynecology-related
Keywords	Principal Investigator 染色体 / 胚培養液 / 着床前診断 / がん精巣幹細胞抗原 / がん精巣抗原 / がん幹細胞 / エクソーム解析 / 腫瘍免疫 / 婦人科がん / がん免疫微小環境 … More / ミスマッチ修復蛋白 / 免疫療法 / 子宮体がん / 深層学習 / 人工知能 / ミスマッチ修復タンパク欠損 / がん免疫療法 … More Except Principal Investigator 診断支援 / 細胞診 / 子宮頸がん / 深層学習 / AI Less

胚培養液中cell-freeRNAの解析による異数性胚細胞制御メカニズムの解明Principal Investigator
- Principal Investigator
  
  真里谷奨
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 56040:Obstetrics and gynecology-related
- Research Institution
  Sapporo Medical University
A study of computer aided diagnosis system of cervical cytology using deep learning.
- Principal Investigator
  
  新開翔太
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 56040:Obstetrics and gynecology-related
- Research Institution
  Sapporo Medical University
Establishment of novel immunotherapies targeting gynecological cancer stem cellsPrincipal Investigator
- Principal Investigator
  
  Mariya Tasuku
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 50010:Tumor biology-related
- Research Institution
  Sapporo Medical University

All 2024 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] The frequency and pathogenicity of BRCA1 and BRCA2 variants in the general Japanese population2024
- Author(s)
  Idogawa Masashi、Mariya Tasuku、Tanaka Yumi、Saito Tsuyoshi、Nakase Hiroshi、Tokino Takashi、Sakurai Akihiro
- Journal Title
  
  Journal of Human Genetics
  
  Volume: - Issue: 5 Pages: 225-230
- DOI
  10.1038/s10038-024-01233-w
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K07173, KAKENHI-PROJECT-20K16363
[Journal Article] BenignMulticystic Peritoneal Mesothelioma Complicating Fertility Preservation.2022
- Author(s)
  Shikanai S, Mariya T
- Journal Title
  
  Gynecol Minim Invasive Ther.
  
  Volume: 11 Issue: 2 Pages: 137-138
- DOI
  10.4103/gmit.gmit_43_21
- Data Source
  KAKENHI-PROJECT-20K16363
[Journal Article] ERα increases endometrial cancer cell resistance to cisplatin via upregulation of BAG3.2021
- Author(s)
  Abe S, Iwasaki M, Habata S, Mariya T, Tamate M, Matsuura M, Satohisa S, Saito T.
- Journal Title
  
  Oncology Letter
  
  Volume: 21 Issue: 1 Pages: 20-20
- DOI
  10.3892/ol.2020.12281
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K16363
[Journal Article] Less correlation between mismatch repair proteins deficiency and decreased expression of HLA class I molecules in endometrial carcinoma: a different propensity from colorectal cancer.2020
- Author(s)
  Mariya T, Kubo T, Hirohashi Y, Yanagawa J, Tabuchi Y, Matsuo K, Furumura K, Morita R, Nakatsugawa M, Kanaseki T, Tsukahara T, Hasegawa T, Saito T, Torigoe T.
- Journal Title
  
  Medical Molecular Morphology
  
  Volume: 54 Issue: 1 Pages: 14-22
- DOI
  10.1007/s00795-020-00254-6
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K16363, KAKENHI-PROJECT-17K11285
[Presentation] Visual Explanation of Classification Model Using Prototypical Contrastive Embedding in Cervical Cytology.2024
- Author(s)
  Yuta Nambu and Tasuku Mariya and Shota Shinkai and Mina Umemoto and Tsuyoshi Saito and Toshihiko Torigoe and Hiroshi Inamura and Yuichi Fujino
- Organizer
  9th International Congress on Information and Communication Technology
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K08849
[Presentation] 【AIがもたらす婦人科癌医療の新展開】深層学習を利用したHE染色からの子宮内膜癌MMR status判定の可否に関する検討2023
- Author(s)
  梅本美菜, 真里谷奨　他
- Organizer
  日本婦人科腫瘍学会学術講演会
- Data Source
  KAKENHI-PROJECT-20K16363
[Presentation] 当院における婦人科癌に対するがん遺伝子パネル検査の現状と課題2023
- Author(s)
  野藤五沙, 真里谷奨　他
- Organizer
  日本婦人科腫瘍学会学術講演会
- Data Source
  KAKENHI-PROJECT-20K16363
[Presentation] 深層学習によるHE染色データを用いた子宮内膜癌プロファイル判定の適否に関する検討2023
- Author(s)
  梅本美菜, 真里谷奨　他
- Organizer
  日本医療情報学会春季学術大会
- Data Source
  KAKENHI-PROJECT-20K16363
[Presentation] 深層学習を用いたHE染色からの子宮内膜癌分子生物学的プロファイル推定の適否に関する検討2023
- Author(s)
  梅本美菜, 真里谷奨　他
- Organizer
  日本産科婦人科学会
- Data Source
  KAKENHI-PROJECT-20K16363
[Presentation] 子宮頸部扁平上皮病変進展様式に適合した学習アルゴリズムの診断支援システムへの適用2022
- Author(s)
  真里谷奨
- Organizer
  第54回日本臨床分子形態学会総会・学術集会
- Data Source
  KAKENHI-PROJECT-20K16363
[Presentation] Label Smoothingを併用した2 段階CNNによる子宮頸部細胞診断支援アルゴリズムについて2022
- Author(s)
  梅本美菜, 真里谷奨他
- Organizer
  第64回日本婦人科腫瘍学会学術講演会
- Data Source
  KAKENHI-PROJECT-20K16363
[Presentation] Deep Learning based algorithm for assistance of cervical cytoscreening by artificial intelligence2021
- Author(s)
  Tasuku Mariya
- Organizer
  第73回日本産科婦人科学会学術講演会
- Data Source
  KAKENHI-PROJECT-20K16363
[Presentation] 子宮体癌と大腸癌におけるミスマッチ修復タンパク欠損と免疫逃避機構の差異に関する検討2021
- Author(s)
  真里谷奨
- Organizer
  第63回日本婦人科腫瘍学会学術講演会
- Data Source
  KAKENHI-PROJECT-20K16363
[Presentation] Deep Learning（YOLOv3）を用いたリアルタイム婦人科細胞診断支援システム設計の試み2021
- Author(s)
  真里谷奨
- Organizer
  第62回日本婦人科腫瘍学会学術集会
- Data Source
  KAKENHI-PROJECT-20K16363

1. 斉藤豪 (90145566)

# of Collaborated Projects: 2 results

# of Collaborated Products: 1 results
2. 倉橋浩樹 (30243215)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 馬場剛 (60404654)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 新開翔太 (40867488)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
5. 鳥越俊彦 (20301400)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
6. 藤野雄一 (60588218)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
7. 時野隆至

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

MARIYA TASUKU 真里谷 奨

Mariya Tasuku 真里谷 奨

Research Projects

Research Products

Co-Researchers

胚培養液中cell-freeRNAの解析による異数性胚細胞制御メカニズムの解明Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A study of computer aided diagnosis system of cervical cytology using deep learning.

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Establishment of novel immunotherapies targeting gynecological cancer stem cellsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] The frequency and pathogenicity of BRCA1 and BRCA2 variants in the general Japanese population2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] BenignMulticystic Peritoneal Mesothelioma Complicating Fertility Preservation.2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] ERα increases endometrial cancer cell resistance to cisplatin via upregulation of BAG3.2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Less correlation between mismatch repair proteins deficiency and decreased expression of HLA class I molecules in endometrial carcinoma: a different propensity from colorectal cancer.2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Visual Explanation of Classification Model Using Prototypical Contrastive Embedding in Cervical Cytology.2024

Author(s)

Organizer

Data Source

[Presentation] 【AIがもたらす婦人科癌医療の新展開】深層学習を利用したHE染色からの子宮内膜癌MMR status判定の可否に関する検討2023

Author(s)

Organizer

Data Source

[Presentation] 当院における婦人科癌に対するがん遺伝子パネル検査の現状と課題2023

Author(s)

Organizer

Data Source

[Presentation] 深層学習によるHE染色データを用いた子宮内膜癌プロファイル判定の適否に関する検討2023

Author(s)

Organizer

Data Source

[Presentation] 深層学習を用いたHE染色からの子宮内膜癌分子生物学的プロファイル推定の適否に関する検討2023

Author(s)

Organizer

Data Source

[Presentation] 子宮頸部扁平上皮病変進展様式に適合した学習アルゴリズムの診断支援システムへの適用2022

Author(s)

Organizer

Data Source

[Presentation] Label Smoothingを併用した2 段階CNNによる子宮頸部細胞診断支援アルゴリズムについて2022

Author(s)

Organizer

Data Source

[Presentation] Deep Learning based algorithm for assistance of cervical cytoscreening by artificial intelligence2021

Author(s)

Organizer

Data Source

[Presentation] 子宮体癌と大腸癌におけるミスマッチ修復タンパク欠損と免疫逃避機構の差異に関する検討2021

Author(s)

Organizer

Data Source

[Presentation] Deep Learning（YOLOv3）を用いたリアルタイム婦人科細胞診断支援システム設計の試み2021

MARIYA TASUKU 真里谷奨

Mariya Tasuku 真里谷奨