Sugino Takaaki 杉野貴明

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杉野貴明スギノタカアキ

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Researcher Number	30830492
Other IDs
Affiliation (Current)	2026: 中京大学, 工学部, 講師 2026: 東京科学大学, 総合研究院, 助教
Affiliation (based on the past Project Information) *help	2026: 中京大学, 工学部, 講師 2024: 東京科学大学, 総合研究院, 助教 2023: 東京医科歯科大学, 生体材料工学研究所, 助教 2020 – 2021: 東京医科歯科大学, 生体材料工学研究所, 助教
Review Section/Research Field	Principal Investigator Basic Section 90130:Medical systems-related
Keywords	Principal Investigator 人工知能 / 病理学的情報推定 / 病変検出 / 画像解析 / 内視鏡下手術支援 / 医用画像処理 / セグメンテーション

Research Projects
(3 results)
Research Products
(11 results)

撮影者依存性の低減に向けた超音波撮像操作支援システムの開発Principal Investigator
- Principal Investigator
  
  杉野貴明
- Project Period (FY)
  2026 – 2029
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Chukyo University
内視鏡下手術における術中方針決定支援システムの開発Principal Investigator
- Principal Investigator
  
  杉野貴明
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Institute of Science Tokyo
  Tokyo Medical and Dental University
AI-based medical image segmentation method with high versatilityPrincipal Investigator
- Principal Investigator
  
  Sugino Takaaki
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  Tokyo Medical and Dental University

All 2025 2024 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Improved segmentation of hepatic vascular networks in ultrasound volumes using 3D U-Net with intensity transformation-based data augmentation2025
- Author(s)
  Yukino Takahashi, Takaaki Sugino, Shinya Onogi, Yoshikazu Nakajima, Kohji Masuda
- Journal Title
  
  Medical & Biological Engineering & Computing
  
  Volume: － Issue: 7 Pages: 2133-2144
- DOI
  10.1007/s11517-025-03320-2
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K11867
[Journal Article] Investigation of Appropriate Scaling of Networks and Images for Convolutional Neural Network-Based Nerve Detection in Ultrasound-Guided Nerve Blocks2024
- Author(s)
  Takaaki Sugino, Shinya Onogi, Rieko Oishi, Chie Hanayama, Satoki Inoue, Shinjiro Ishida, Yuhang Yao, Nobuhiro Ogasawara, Masahiro Murakawa, Yoshikazu Nakajima
- Journal Title
  
  Sensors
  
  Volume: 24 Issue: 11 Pages: 3696-3696
- DOI
  10.3390/s24113696
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K11867
[Journal Article] Loss Weightings for Improving Imbalanced Brain Structure Segmentation Using Fully Convolutional Networks2021
- Author(s)
  Takaaki Sugino, Toshihiro Kawase, Shinya Onogi, Taichi Kin, Nobuhito Saito, Yoshikazu Nakajima
- Journal Title
  
  Healthcare
  
  Volume: 9 Issue: 8 Pages: 938-938
- DOI
  10.3390/healthcare9080938
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K20216
[Journal Article] Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation2021
- Author(s)
  Takaaki Sugino, Holger R. Roth, Masahiro Oda, Taichi Kin, Nobuhito Saito, Yoshikazu Nakajima, Kensaku Mori
- Journal Title
  
  Medical Physics
  
  Volume: 48 Issue: 11 Pages: 7215-7227
- DOI
  10.1002/mp.15192
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K20216
[Presentation] マルチモーダル情報からの深層学習ベースの非浸潤肺癌病変予測2025
- Author(s)
  杉野貴明，石川祐也，大久保憲一，中島義和
- Organizer
  2024年度生体医歯工学共同研究拠点成果報告会
- Data Source
  KAKENHI-PROJECT-23K11867
[Presentation] マルチモーダル画像情報を用いた深層学習による非浸潤肺癌病変の予測2024
- Author(s)
  杉野貴明，石川祐也，大久保憲一，中島義和
- Organizer
  第33回日本コンピュータ外科学会大会
- Data Source
  KAKENHI-PROJECT-23K11867
[Presentation] 深層学習技術を活用した胸腔鏡画像における肺がん領域の自動検出2023
- Author(s)
  杉野貴明，石川祐也，大久保憲一，中島義和
- Organizer
  2023年度生体医歯工学共同研究拠点成果報告会
- Data Source
  KAKENHI-PROJECT-23K11867
[Presentation] Automatic nerve detection for ultrasound-guided peripheral nerve blocks using deep convolutional neural networks2023
- Author(s)
  Takaaki Sugino, Shinya Onogi, Rieko Oishi, Chie Harayama, Satoki Inoue, Shinjiro Ishida, Yao Yuhang, Nobuhiro Ogasawara, Masahiro Murakami, Yoshikazu Nakajima
- Organizer
  The 8th International Symposium on Biomedical Engineering
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11867
[Presentation] Two-stage convolutional neural network-based approach for improved segmentation of basal ganglia on MR images2022
- Author(s)
  Takaaki Sugino, Taichi Kin, Nobuhito Saito, Yoshikazu Nakajima
- Organizer
  Computer Assisted Radiology and Surgery 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20216
[Presentation] MRI画像からの大脳基底核のAIセグメンテーション－Skip connectionによる抽出精度向上の検討－2021
- Author(s)
  杉野貴明，金太一，斎藤季，川瀬利弘，小野木真哉，齊藤延人，森健策，中島義和
- Organizer
  第30回日本コンピュータ外科学会
- Data Source
  KAKENHI-PROJECT-20K20216
[Presentation] Label cleansing and propagation for improved segmentation performance using fully convolutional networks2020
- Author(s)
  Takaaki Sugino, Yutaro Suzuki, Taichi Kin, Nobuhito Saito, Kensaku Mori, Yoshikazu Nakajima
- Organizer
  Computer Assisted Radiology and Surgery (CARS) 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20216

Sugino Takaaki 杉野 貴明

杉野 貴明 スギノ タカアキ

Research Projects

Research Products

撮影者依存性の低減に向けた超音波撮像操作支援システムの開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

内視鏡下手術における術中方針決定支援システムの開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

AI-based medical image segmentation method with high versatilityPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Improved segmentation of hepatic vascular networks in ultrasound volumes using 3D U-Net with intensity transformation-based data augmentation2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Investigation of Appropriate Scaling of Networks and Images for Convolutional Neural Network-Based Nerve Detection in Ultrasound-Guided Nerve Blocks2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Loss Weightings for Improving Imbalanced Brain Structure Segmentation Using Fully Convolutional Networks2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] マルチモーダル情報からの深層学習ベースの非浸潤肺癌病変予測2025

Author(s)

Organizer

Data Source

[Presentation] マルチモーダル画像情報を用いた深層学習による非浸潤肺癌病変の予測2024

Author(s)

Organizer

Data Source

[Presentation] 深層学習技術を活用した胸腔鏡画像における肺がん領域の自動検出2023

Author(s)

Organizer

Data Source

[Presentation] Automatic nerve detection for ultrasound-guided peripheral nerve blocks using deep convolutional neural networks2023

Author(s)

Organizer

Data Source

[Presentation] Two-stage convolutional neural network-based approach for improved segmentation of basal ganglia on MR images2022

Author(s)

Organizer

Data Source

[Presentation] MRI画像からの大脳基底核のAIセグメンテーション－Skip connectionによる抽出精度向上の検討－2021

Author(s)

Organizer

Data Source

[Presentation] Label cleansing and propagation for improved segmentation performance using fully convolutional networks2020

Author(s)

Organizer

Data Source

Sugino Takaaki 杉野貴明

杉野貴明スギノタカアキ