Takuya Ueda 植田琢也

… Alternative Names

植田琢也ウエダタクヤ

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Researcher Number	40361448
Other IDs
Affiliation (based on the past Project Information) *help	2019 – 2023: 東北大学, 医学系研究科, 教授 2007: 筑波大学, 大学院・人間総合科学研究科, 講師 2005: 筑波大学, 大学院・人間総合科学研究科, 講師 2004: 千葉大学, 大学院・医学研究院, 助手
Review Section/Research Field	Principal Investigator Basic Section 55010:General surgery and pediatric surgery-related / Radiation science Except Principal Investigator Basic Section 56010:Neurosurgery-related / Basic Section 52040:Radiological sciences-related / Basic Section 58010:Medical management and medical sociology-related / Basic Section 55060:Emergency medicine-related / Radiation science / Cerebral neurosurgery
Keywords	Principal Investigator 画像診断 / 深層学習 / 診断支援 / マンモグラフィ / 乳癌 / 説明可能人工知能 / 人工知能 / 腫瘍診断 / 核磁気共鳴装置 / 血流速度 / 数式モデル / 画像解析 / 腫瘍血管新生 … More Except Principal Investigator … More RNF213 / vessel wall imaging / 流体解析 / artificial intelligence / モヤモヤ病 / ストレイン / feature tracking / feature tracking法 / ストレイン評価 / 心臓MRI / 肺高血圧 / 健康管理ツール / 健康管理アルゴリズム / 新型コロナウイルス感染症 / COVID-19 prognosis / COVID-19 risk factor / post COVID-19 condition / mild COVID-19 / prolonged symptoms / prediction model / machine learning / risk factor / mild-moderate COVID-19 / COVID-19 / 救急患者 / CT / 画像診断 / 機械学習 / 人工知能 / Numerical simulation / Tumor-induced angiogenesis / CT perfusions study / 数式モデル / 画像解析 / 腫瘍血管新生 / 血管内皮増殖因子 / 再生医学 / 遺伝子 / SDF1 / 脳神経疾患 / CXCR7 / CXCR4 / SDF-1 / 低酸素 / グリオーマ / 血管新生抑制 / 腫瘍血管内皮細胞 / ケモカイン / 血管内皮前駆細胞 / 血管新生 / 脳腫瘍学 Less

肺高血圧における両心房、心室の四次元ストレイン評価による新たな予後予測指標の確立
- Principal Investigator
  
  真鍋徳子
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Jichi Medical University
人工知能を用いたもやもや病における病期進行予測モデルの開発
- Principal Investigator
  
  遠藤英徳
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 56010:Neurosurgery-related
- Research Institution
  Tohoku University
新型コロナウイルス感染症療養患者の健康管理アルゴリズム確立及び管理ツールの開発
- Principal Investigator
  
  石井正
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 58010:Medical management and medical sociology-related
- Research Institution
  Tohoku University
Explainable AI diagnostic system for breast cancer using tomosynthesisPrincipal Investigator
- Principal Investigator
  
  Takuya Ueda
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 55010:General surgery and pediatric surgery-related
- Research Institution
  Tohoku University
Development of imaging diagnosis support system for emergency patients by artificial intelligence
- Principal Investigator
  
  Kudo Daisuke
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 55060:Emergency medicine-related
- Research Institution
  Tohoku University
Antiangiogenic therapy using endothelial progenitor cells for malignant tumors
- Principal Investigator
  
  TAKANO Shingo
- Project Period (FY)
  2006 – 2008
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Cerebral neurosurgery
- Research Institution
  University of Tsukuba
Five dimensional analysis of tumor-induced angiogenesis using CT perfusion imaging_with numerical simulation of fluid dynamics of contrast medium
- Principal Investigator
  
  MINAMI Manabu
- Project Period (FY)
  2005 – 2006
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Radiation science
- Research Institution
  University of Tsukuba
数値流体解析法による灌流画像の腫瘍血管新生4次元動態解析と治療法選択への応用Principal Investigator
- Principal Investigator
  
  植田琢也
- Project Period (FY)
  2004 – 2005
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Radiation science
- Research Institution
  University of Tsukuba
  Chiba University

All 2024 2022 2021 2020 2007 2006 Other

All Journal Article Presentation Other

[Journal Article] Deep learning model to predict Ki-67 expression of breast cancer using digital breast tomosynthesis2024
- Author(s)
  Oba Ken、Adachi Maki、Kobayashi Tomoya、Takaya Eichi、Shimokawa Daiki、Fukuda Toshinori、Takahashi Kengo、Yagishita Kazuyo、Ueda Takuya、Tsunoda Hiroko
- Journal Title
  
  Breast Cancer
  
  Volume: 29 Pages: 48-59
- DOI
  10.1007/s12282-024-01549-7
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H03738
[Journal Article] Statistical Analysis of Mortality Rates of Coronavirus Disease 2019 (COVID-19) Patients in Japan Across the 4C Mortality Score Risk Groups, Age Groups, and Epidemiological Waves: A Report From the Nationwide COVID-19 Cohort2022
- Author(s)
  Baba Hiroaki、Ikumi Saori、Aoyama Shotaro、Ishikawa Tetsuo、Asai Yusuke、Matsunaga Nobuaki、Ohmagari Norio、Kanamori Hajime、Tokuda Koichi、Ueda Takuya、Kawakami Eiryo
- Journal Title
  
  Open Forum Infectious Diseases
  
  Volume: 10 Issue: 1
- DOI
  10.1093/ofid/ofac638
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K02356, KAKENHI-PROJECT-20K21837, KAKENHI-PROJECT-20H03738
[Journal Article] Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images2022
- Author(s)
  Daiki Shimokawa, Kengo Takahashi, Daiya Kurosawa, Eichi Takaya, Ken Oba, Kazuyo Yagishita, Toshinori Fukuda, Hiroko Tsunoda, Takuya Ueda
- Journal Title
  
  Radiological Physics and Technology
  
  Volume: 16 Issue: 1 Pages: 20-27
- DOI
  10.1007/s12194-022-00686-y
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H03738
[Journal Article] Effects of data count and image scaling on Deep Learning training2020
- Author(s)
  Hirahara Daisuke、Takaya Eichi、Takahara Taro、Ueda Takuya
- Journal Title
  
  PeerJ Computer Science
  
  Volume: 6 Pages: e312-e312
- DOI
  10.7717/peerj-cs.312
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K08131, KAKENHI-PROJECT-20H03738
[Journal Article] CT perfusion studyを用いた血流評価 : 各種モデリングの現状と問題点、将来展望2007
- Author(s)
  植田琢也, 水藤寛, 七澤洋平, 南学
- Journal Title
  
  映像情報メディカル Volume 39
  
  Pages: 334-337
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-17390325
[Journal Article] 腎臓組織における造影剤の濃度による浸透係数の推定問題に対する数理的手法2006
- Author(s)
  七澤洋平, 水藤寛, 植田琢也, 南学
- Journal Title
  
  日本応用数理学会論文誌 Volume 16
  
  Pages: 435-452
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-17390325
[Presentation] 医学的見地を考慮した病変分類に基づく、乳房トモシンセシスの乳癌画像診断AIモデルの検討2021
- Author(s)
  安達眞紀,川口くらら,金野智史,大庭建,髙屋英知,八木下和代,角田博子,植田琢也
- Organizer
  第31回日本乳癌画像研究会
- Data Source
  KAKENHI-PROJECT-20H03738
[Presentation] Differentiating between invasive and non-invasive breast carcinomas in digital breast tomosynthesis using deep convolutional neural networks2021
- Author(s)
  Daiki Shimokawa, Kengo Takahashi, Kiichi Shibuya, Takuma Usuzaki, Mizuki Kadowaki, Eichi Takaya, Toshinori Fukuda, Ken Oba, Takuya Ueda
- Organizer
  European Congress of Radiology 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H03738
[]

1. 中川敦寛 (10447162)

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2. 麦倉俊司 (20375017)

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3. TAKANO Shingo (50292553)

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4. OHNEDA Osamu (30311872)

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5. YAMASHITA Toshiharu (50400677)

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6. EMA Masatsugu (60359578)

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7. IMAGAWA Shigehiko (60231164)

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8. SHIMIZU Takashi (00338782)

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9. ABEI Masato (20261802)

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10. MINAMI Manabu (10174096)

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11. UEDA Takuya (16790721)

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12. SUITO Hiroshi (10302530)

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13. Kudo Daisuke (30455844)

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18. 原田達也 (60345113)

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23. 赤石哲也 (80833904)

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24. 真鍋徳子 (70463742)

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28. 遠藤英徳 (40723458)

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34. 高原太郎

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Takuya Ueda 植田 琢也

植田 琢也 ウエダ タクヤ

Research Projects

Research Products

Co-Researchers

肺高血圧における両心房、心室の四次元ストレイン評価による新たな予後予測指標の確立

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

人工知能を用いたもやもや病における病期進行予測モデルの開発

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

新型コロナウイルス感染症療養患者の健康管理アルゴリズム確立及び管理ツールの開発

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Explainable AI diagnostic system for breast cancer using tomosynthesisPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of imaging diagnosis support system for emergency patients by artificial intelligence

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Antiangiogenic therapy using endothelial progenitor cells for malignant tumors

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Five dimensional analysis of tumor-induced angiogenesis using CT perfusion imaging_with numerical simulation of fluid dynamics of contrast medium

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

数値流体解析法による灌流画像の腫瘍血管新生4次元動態解析と治療法選択への応用Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Deep learning model to predict Ki-67 expression of breast cancer using digital breast tomosynthesis2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Statistical Analysis of Mortality Rates of Coronavirus Disease 2019 (COVID-19) Patients in Japan Across the 4C Mortality Score Risk Groups, Age Groups, and Epidemiological Waves: A Report From the Nationwide COVID-19 Cohort2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Effects of data count and image scaling on Deep Learning training2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] CT perfusion studyを用いた血流評価 : 各種モデリングの現状と問題点、将来展望2007

Author(s)

Journal Title

Description

Data Source

[Journal Article] 腎臓組織における造影剤の濃度による浸透係数の推定問題に対する数理的手法2006

Author(s)

Takuya Ueda 植田琢也

植田琢也ウエダタクヤ