Fujioka Tomoyuki 藤岡友之

… Alternative Names

藤岡友之フジオカトモユキ

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Researcher Number	60771631
Other IDs	https://orcid.org/0000-0002-7141-8901
Affiliation (Current)	2024: 東京科学大学, 大学院医歯学総合研究科, 寄附講座准教授
Affiliation (based on the past Project Information) *help	2024: 東京医科歯科大学, 東京医科歯科大学病院, 講師 2022: 東京医科歯科大学, 東京医科歯科大学病院, 准教授 2021: 東京医科歯科大学, 東京医科歯科大学病院, 講師 2019: 東京医科歯科大学, 医学部附属病院, 講師 2016 – 2018: 東京医科歯科大学, 医学部附属病院, 助教
Review Section/Research Field	Principal Investigator Basic Section 52040:Radiological sciences-related Except Principal Investigator Radiation science
Keywords	Principal Investigator 人工知能 / 乳房 / 石灰化 / 乳がん / MRI / 医学教育 / 画像診断 / 生成画像 / 乳癌 / 敵対的生成ネットワーク / 乳腺画像診断 / 超音波 … More Except Principal Investigator … More 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 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
- 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
敵対的生成ネットワークによる乳房超音波画像を生成し教育や研究への応用を目指す研究Principal Investigator
- Principal Investigator
  
  藤岡友之
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Tokyo Medical and Dental University
Imaging studies on the heterogeneity of breast cancer
- 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 2022 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] 乳腺シンポジウム「乳腺領域のAIの進歩と可能性」超音波乳房画像診断のAI研究の最新動向2022
- Author(s)
  藤岡友之
- Organizer
  日本超音波医学会第95回学術集会
- Invited
- Data Source
  KAKENHI-PROJECT-21K15800
[Presentation] 超音波乳房画像診断のAI研究の最新動向2022
- Author(s)
  藤岡友之
- Organizer
  日本超音波医学会第95回学術集会
- Invited
- Data Source
  KAKENHI-PROJECT-21K15800
[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. Kubota Kazunori (40625480)

# 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

Fujioka Tomoyuki 藤岡 友之

藤岡 友之 フジオカ トモユキ

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

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

敵対的生成ネットワークによる乳房超音波画像を生成し教育や研究への応用を目指す研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Imaging studies on the heterogeneity of breast cancer

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] 乳腺 シンポジウム「乳腺領域のAIの進歩と可能性」 超音波乳房画像診断のAI研究の最新動向2022

Author(s)

Organizer

Data Source

[Presentation] 超音波乳房画像診断のAI研究の最新動向2022

Author(s)

Organizer

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

Fujioka Tomoyuki 藤岡友之

藤岡友之フジオカトモユキ

[Presentation] 乳腺シンポジウム「乳腺領域のAIの進歩と可能性」超音波乳房画像診断のAI研究の最新動向2022