UMEHARA Kensuke 梅原健輔

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Umehara Kensuke 梅原健輔

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Researcher Number	90825077
Other IDs
Affiliation (Current)	2025: 国立研究開発法人量子科学技術研究開発機構, QST病院医療技術部, 主任研究員 2025: 国立研究開発法人量子科学技術研究開発機構, QST病院, 主任研究員
Affiliation (based on the past Project Information) *help	2021 – 2023: 国立研究開発法人量子科学技術研究開発機構, QST病院, 主任研究員 2019 – 2020: 国立研究開発法人量子科学技術研究開発機構, QST病院, 研究員(定常) 2018: 国立研究開発法人量子科学技術研究開発機構, 放射線医学総合研究所病院, 研究員(定常)
Review Section/Research Field	Principal Investigator Basic Section 52040:Radiological sciences-related / 0902:General internal medicine and related fields Except Principal Investigator Basic Section 52040:Radiological sciences-related
Keywords	Principal Investigator 超解像 / AIイメージング / MRI / Radiomics / 深層学習 / 敵対的生成ネットワーク / Super-Resolution / Transformer / トランスフォーマー / 機械学習 … More / 医学物理学 / 放射線技術学 / 医用画像処理 / 画像変換 / ノイズ除去 / compressed sensing / GAN / 圧縮センシング / 高速撮像 / Deep Learning / 人工知能 / ディープラーニング / 畳み込みニューラルネットワーク / AI / 胸部CT / 重粒子線治療 … More Except Principal Investigator 時間分解能 / 人工知能 / 画像処理 / 心臓CT Less

Augmented Intelligence for Breaking the "50 Millisecond Barrier" of Temporal Resolution in Cardiac CT Imaging
- Principal Investigator
  
  西井達矢
- Project Period (FY)
  2023 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  National Cardiovascular Center Research Institute
Transformer-empowered medical AI imaging: a proof-of-concept studyPrincipal Investigator
- Principal Investigator
  
  梅原健輔
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  National Institutes for Quantum Science and Technology
A Feasibility Study of AI-driven Imaging for Ultra-Fast MRIPrincipal Investigator
- Principal Investigator
  
  Umehara Kensuke
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  National Institutes for Quantum Science and Technology
Artificial intelligence aided clinical decision support system for heavy-ion radiotherapy in non-small cell lung cancerPrincipal Investigator
- Principal Investigator
  
  梅原健輔
- Project Period (FY)
  2018 – 2019
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0902:General internal medicine and related fields
- Research Institution
  National Institutes for Quantum and Radiological Science and Technology

All 2024 2023 2022 2020 2019 2018

All Journal Article Presentation

[Journal Article] RSNA Certificate of Merit受賞報告（「Beyond the Hype: The Power of GANs in Restoring MRI Texture（「ハイプ」を超えて：MRIのテクスチャ復元におけるGANの威力）」）2024
- Author(s)
  梅原健輔
- Journal Title
  
  月間インナービジョン
  
  Volume: 39(2) Pages: 68-69
- Data Source
  KAKENHI-PROJECT-22K15853
[Journal Article] RSNA Award Report「Beyond the Hype: The Power of GANs in Restoring MRI Texture（「ハイプ」を超えて：MRIのテクスチャ復元におけるGANの威力）」2024
- Author(s)
  梅原健輔
- Journal Title
  
  Rad Fan
  
  Volume: 22(2) Pages: 97-99
- Data Source
  KAKENHI-PROJECT-22K15853
[Journal Article] Generative adversarial network-based post-processed image super-resolution technology for accelerating brain MRI: comparison with compressed sensing2022
- Author(s)
  Ueki Wataru、Nishii Tatsuya、Umehara Kensuke、Ota Junko、Higuchi Satoshi、Ohta Yasutoshi、Nagai Yasuhiro、Murakawa Keizo、Ishida Takayuki、Fukuda Tetsuya
- Journal Title
  
  Acta Radiologica
  
  Volume: 64 Issue: 1 Pages: 336-345
- DOI
  10.1177/02841851221076330
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K17250
[Journal Article] AI イメージングによる超高速撮像 MRI：最新技術レビューとProof of Concept2020
- Author(s)
  梅原健輔
- Journal Title
  
  Rad Fan
  
  Volume: 18(2) Pages: 47-49
- Data Source
  KAKENHI-PROJECT-19K17250
[Journal Article] 1. Deep Learning Super-resolution in Medical Imaging: What Is It and How to Use It2020
- Author(s)
  梅原健輔
- Journal Title
  
  Japanese Journal of Radiological Technology
  
  Volume: 76 Issue: 5 Pages: 524-533
- DOI
  10.6009/jjrt.2020_JSRT_76.5.524
- NAID
  130007844465
- ISSN
  0369-4305, 1881-4883
- Language
  Japanese
- Data Source
  KAKENHI-PROJECT-19K17250
[Journal Article] AI イメージングによる超高速撮像 MRI：最新技術レビューとProof of Concept2020
- Author(s)
  梅原健輔
- Journal Title
  
  月刊インナービジョン
  
  Volume: 35(2) Pages: 43-43
- Data Source
  KAKENHI-PROJECT-19K17250
[Journal Article] Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT2018
- Author(s)
  Umehara Kensuke、Ota Junko、Ishida Takayuki
- Journal Title
  
  Journal of Digital Imaging
  
  Volume: 31 Issue: 4 Pages: 441-450
- DOI
  10.1007/s10278-017-0033-z
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18H06205
[Journal Article] Sparse Coding Super-Resolution Scheme for Chest Computed Tomography2018
- Author(s)
  Ota Junko、Umehara Kensuke、Ishimaru Naoki、Ohno Shunsuke、Okamoto Kentaro、Suzuki Takanori、Ishida Takayuki
- Journal Title
  
  Journal of Medical Imaging and Health Informatics
  
  Volume: 8 Issue: 5 Pages: 1043-1050
- DOI
  10.1166/jmihi.2018.2399
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18H06205
[Journal Article] MRI画像に対するスパースコーディング超解像処理の有用性2018
- Author(s)
  石丸直樹、大田淳子、梅原健輔、鈴木崇師、大野隼輔、岡本健太郎、石田隆行
- Journal Title
  
  Medical Imaging Technology
  
  Volume: 36 Pages: 196-202
- NAID
  130007496357
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18H06205
[Presentation] Twinkling T2 STAR: Robust Radiomics Features for Reliable Cerebral Microbleed Identification2023
- Author(s)
  Hiroki Nakajima, Ryogo Enoki, Tatsuya Nishii, Kensuke Umehara, Junko Ota, Yoshihiro Nagai, Yasutoshi Ohta, Keizo Murakawa, Tetsuya Fukuda
- Organizer
  RSNA2023 109th Scientific Assembly and Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K15853
[Presentation] Beyond the Hype: The Power of GANs in Restoring MRI Texture2023
- Author(s)
  Kensuke Umehara, Tatsuya Nishii, Junko Ota, Ryogo Enoki, Yasutoshi Ohta, Tetsuya Fukuda, Hisateru Ohba, Takayuki Obata
- Organizer
  RSNA2023 109th Scientific Assembly and Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K15853
[Presentation] AIイメージングは新たなモダリティになり得るか：現状と将来展望2020
- Author(s)
  梅原健輔
- Organizer
  第76回日本放射線技術学会総会学術大会（JRC2020web）
- Invited
- Data Source
  KAKENHI-PROJECT-19K17250
[Presentation] 放射線医学におけるAIイメージング2020
- Author(s)
  梅原健輔
- Organizer
  日本光学会第4回AI Optics研究会～AIとイメージング～
- Invited
- Data Source
  KAKENHI-PROJECT-19K17250
[Presentation] Accelerating Brain MRI Using Generative Adversarial Network Based Image Super-Resolution Technology: Comparison with Compressed Sensing2020
- Author(s)
  Wataru Ueki, Tatsuya Nishii, Kensuke Umehara, Junko Ota, Yuki Kittaka, Satoshi Higuchi, Yasutoshi Ohta, Yasuhiro Nagai, Keizo Murakawa, Takayuki Ishida, Tetsuya Fukuda
- Organizer
  RSNA 2020 106th Scientific Assembly and Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K17250
[Presentation] Artificial Intelligence-Driven Imaging for Ultra-Fast MRI: Cutting-Edge Technology and Clinical Application2019
- Author(s)
  Kensuke Umehara, Tatsuya Nishii, Junko Ota, Naoki Ishimaru, Wataru Ueki, Hisateru Ohba, Takayuki Obata, Tetsuya Fukuda, Takayuki Ishida
- Organizer
  RSNA2019 105th Scientific Assembly and Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K17250
[Presentation] Image super-resolution using generative adversarial networks for accelerating MRI: Image quality analysis of the volunteer MRI2019
- Author(s)
  Wataru Ueki, Tatsuya Nishii, Hirotsugu Ida, Masaru Shiotani, Tatsuhiro Yamamoto, Yasutoshi Ohta, Kensuke Umehara, Junko Ota, Yasuhiro Nagai, Takayuki Ishida, Tetsuya Fukuda
- Organizer
  第47回日本磁気共鳴医学会大会
- Data Source
  KAKENHI-PROJECT-19K17250
[Presentation] 敵対的生成ネットワークを用いたAIイメージングによるMRI高速撮像の基礎的検討2019
- Author(s)
  梅原健輔, 西井達矢, 大田淳子, 植木渉, 大場久照, 小畠隆行, 福田哲也, 石田隆行
- Organizer
  第47回日本放射線技術学会秋季学術大会
- Data Source
  KAKENHI-PROJECT-19K17250

1. 西井達矢 (20749345)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 河野淳 (20574388)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 太田靖利 (90388570)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 大田淳子 (90825001)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

UMEHARA Kensuke 梅原 健輔

Umehara Kensuke 梅原 健輔

Research Projects

Research Products

Co-Researchers

Augmented Intelligence for Breaking the "50 Millisecond Barrier" of Temporal Resolution in Cardiac CT Imaging

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Transformer-empowered medical AI imaging: a proof-of-concept studyPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A Feasibility Study of AI-driven Imaging for Ultra-Fast MRIPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Artificial intelligence aided clinical decision support system for heavy-ion radiotherapy in non-small cell lung cancerPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] RSNA Certificate of Merit受賞報告（「Beyond the Hype: The Power of GANs in Restoring MRI Texture（「ハイプ」を超えて：MRIのテクスチャ復元におけるGANの威力）」）2024

Author(s)

Journal Title

Data Source

[Journal Article] RSNA Award Report「Beyond the Hype: The Power of GANs in Restoring MRI Texture（「ハイプ」を超えて：MRIのテクスチャ復元におけるGANの威力）」2024

Author(s)

Journal Title

Data Source

[Journal Article] Generative adversarial network-based post-processed image super-resolution technology for accelerating brain MRI: comparison with compressed sensing2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] AI イメージングによる超高速撮像 MRI： 最新技術レビューとProof of Concept2020

Author(s)

Journal Title

Data Source

[Journal Article] 1. Deep Learning Super-resolution in Medical Imaging: What Is It and How to Use It2020

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] AI イメージングによる超高速撮像 MRI： 最新技術レビューとProof of Concept2020

Author(s)

Journal Title

Data Source

[Journal Article] Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Sparse Coding Super-Resolution Scheme for Chest Computed Tomography2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] MRI画像に対するスパースコーディング超解像処理の有用性2018

Author(s)

Journal Title

NAID

Data Source

[Presentation] Twinkling T2 STAR: Robust Radiomics Features for Reliable Cerebral Microbleed Identification2023

Author(s)

Organizer

Data Source

[Presentation] Beyond the Hype: The Power of GANs in Restoring MRI Texture2023

Author(s)

Organizer

UMEHARA Kensuke 梅原健輔

Umehara Kensuke 梅原健輔

[Journal Article] AI イメージングによる超高速撮像 MRI：最新技術レビューとProof of Concept2020

[Journal Article] AI イメージングによる超高速撮像 MRI：最新技術レビューとProof of Concept2020