Kubota Kazunori 久保田一徳

Researcher Number	40625480
Other IDs
Affiliation (Current)	2025: 獨協医科大学, 医学部, 教授 2025: 東京科学大学, その他の部局等, 非常勤講師
Affiliation (based on the past Project Information) *help	2024: 獨協医科大学, 医学部, 教授 2019: 獨協医科大学, 医学部, 教授 2017 – 2018: 東京医科歯科大学, 医学部附属病院, 准教授 2016: 東京医科歯科大学, 医学部附属病院, 講師
Review Section/Research Field	Principal Investigator Radiation science Except Principal Investigator Basic Section 54020:Connective tissue disease and allergy-related / Basic Section 52040:Radiological sciences-related
Keywords	Principal Investigator 放射線 / ゲノム / 癌 / 医療・福祉 / heterogeneity / サブタイプ / 超音波 / MRI / PET / 画像診断 / 乳癌 … More Except Principal Investigator … More 深層学習 / 乳房 / 石灰化 / 乳がん / MRI / 人工知能 Less

革新的MRI技術とAIを融合した乳房石灰化診断の新展開
- Principal Investigator
  
  藤岡友之
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Tokyo Medical and Dental University
深層学習による膠原病肺の新規画像分類の確立
- Principal Investigator
  
  前澤玲華
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 54020:Connective tissue disease and allergy-related
- Research Institution
  Dokkyo Medical University
Imaging studies on the heterogeneity of breast cancerPrincipal Investigator
- Principal Investigator
  
  Kubota Kazunori
- Project Period (FY)
  2016 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Radiation science
- Research Institution
  Dokkyo Medical University
  Tokyo Medical and Dental University

All 2019 2018 2017

All Journal Article Presentation

[Journal Article] Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network2019
- Author(s)
  Fujioka Tomoyuki、Kubota Kazunori、Mori Mio、Kikuchi Yuka、Katsuta Leona、Kasahara Mai、Oda Goshi、Ishiba Toshiyuki、Nakagawa Tsuyoshi、Tateishi Ukihide
- Journal Title
  
  Japanese Journal of Radiology
  
  Volume: - Issue: 6 Pages: 466-472
- DOI
  10.1007/s11604-019-00831-5
- NAID
  50014194339
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K10270
[Journal Article] Diagnostic performance of time-of-flight PET/CT for evaluating nodal metastasis of the axilla in breast cancer2019
- Author(s)
  Mori Mio、Fujioka Tomoyuki、Katsuta Leona、Tsuchiya Junichi、Kubota Kazunori、Kasahara Mai、Oda Goshi、Nakagawa Tsuyoshi、Onishi Iichiroh、Tateishi Ukihide
- Journal Title
  
  Nuclear Medicine Communications
  
  Volume: 40 Issue: 9 Pages: 958-964
- DOI
  10.1097/mnm.0000000000001057
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K10270
[Journal Article] Simultaneous comparison between strain and shear wave elastography of breast masses for the differentiation of benign and malignant lesions by qualitative and quantitative assessments.2019
- Author(s)
  Fujioka Tomoyuki、Mori Mio、Kubota Kazunori、Kikuchi Yuka、Katsuta Leona、Kasahara Mai、Oda Goshi、Ishiba Toshiyuki、Nakagawa Tsuyoshi、Tateishi Ukihide
- Journal Title
  
  Breast Cancer
  
  Volume: 26 Issue: 6 Pages: 792-798
- DOI
  10.1007/s12282-019-00985-0
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K10270
[Journal Article] Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks2019
- Author(s)
  Fujioka Tomoyuki、Mori Mio、Kubota Kazunori、Kikuchi Yuka、Katsuta Leona、Adachi Mio、Oda Goshi、Nakagawa Tsuyoshi、Kitazume Yoshio、Tateishi Ukihide
- Journal Title
  
  Diagnostics
  
  Volume: 9 Issue: 4 Pages: 176-176
- DOI
  10.3390/diagnostics9040176
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K10270
[Journal Article] The feasibility of using 18F-FDG-PET/CT in patients with mucinous breast carcinoma2018
- Author(s)
  Fujioka Tomoyuki、Kubota Kazunori、Kikuchi Yuka、Tsuchiya Junichi、Tateishi Ukihide、Kasaharak Mai、Oda Goshi、Ishiba Toshiyuki、Nakagawa Tsuyoshi
- Journal Title
  
  Nuclear Medicine Communications
  
  Volume: 39 Issue: 11 Pages: 1033-1038
- DOI
  10.1097/mnm.0000000000000910
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K10270
[Presentation] Clinical value of 18F-FDG PET/CT for staging elderly and young women with preoperative breast cancer2019
- Author(s)
  Kazunori Kubota, Tomoyuki Fujioka, Mio Mori, Junichi Tsuchiya, Ukihide Tateishi
- Organizer
  ECR 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K10270
[Presentation] Prognostic Staging: the new method for staging breast cancer2019
- Author(s)
  Kazunori Kubota、Tomoyuki Fujioka、Mio Mori、Ukihide Tateishi、Yasushi Kaji
- Organizer
  Radiological Society of North America (RSNA) 105th Scientific Assembly
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K10270
[Presentation] Utility of 18F-FDG PET/CT and MRI imaging findings for predicting the clinicopathologic subtypes of triple negative breast cancer2017
- Author(s)
  Kazunori Kubota, Tomoyuki Fujioka, Akira Toriihara,Yukihisa Saida, Ukihide Tateishi
- Organizer
  ECR 2017
- Place of Presentation
  Vienna, Austria
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K10270

1. 藤岡友之 (60771631)

# of Collaborated Projects: 2 results

# of Collaborated Products: 8 results
2. 山鹿絵美 (10897325)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 前澤玲華 (20322406)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 池田啓 (10456014)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Kubota Kazunori 久保田 一徳

Research Projects

Research Products

Co-Researchers

革新的MRI技術とAIを融合した乳房石灰化診断の新展開

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

深層学習による膠原病肺の新規画像分類の確立

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Imaging studies on the heterogeneity of breast cancerPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network2019

Author(s)

Journal Title

DOI

NAID

Data Source

[Journal Article] Diagnostic performance of time-of-flight PET/CT for evaluating nodal metastasis of the axilla in breast cancer2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Simultaneous comparison between strain and shear wave elastography of breast masses for the differentiation of benign and malignant lesions by qualitative and quantitative assessments.2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] The feasibility of using 18F-FDG-PET/CT in patients with mucinous breast carcinoma2018

Author(s)

Journal Title

DOI

Data Source

[Presentation] Clinical value of 18F-FDG PET/CT for staging elderly and young women with preoperative breast cancer2019

Author(s)

Organizer

Data Source

[Presentation] Prognostic Staging: the new method for staging breast cancer2019

Author(s)

Organizer

Data Source

[Presentation] Utility of 18F-FDG PET/CT and MRI imaging findings for predicting the clinicopathologic subtypes of triple negative breast cancer2017

Author(s)

Organizer

Place of Presentation

Data Source

Kubota Kazunori 久保田一徳