Ozaki Sho 尾崎翔

Researcher Number	60615326
Other IDs
Affiliation (Current)	2025: 弘前大学, 理工学研究科, 助教
Affiliation (based on the past Project Information) *help	2025: 弘前大学, 理工学研究科, 助教 2021 – 2023: 東京大学, 理学(系)研究科(研究院), 研究員 2021 – 2022: 弘前大学, 理工学研究科, 助教 2019 – 2020: 東京大学, 医学部附属病院, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 62010:Life, health and medical informatics-related / Basic Section 52040:Radiological sciences-related Except Principal Investigator Basic Section 62010:Life, health and medical informatics-related
Keywords	Principal Investigator モダリティ変換 / 画像変換 / 深層ニューラルネット / 画像誘導放射線治療 / CT / 深層学習 / 画像再構成 Except Principal Investigator 放射線治療 / 安定要件 / 深層画像 … More / 医用画像情報 / 疎な / 生成解析 / 臨床適用 / 画像解析 / 画像生成 / 深層学習 Less

画像生成AIを組み込んだ革新的CT画像再構成法の放射線治療への応用Principal Investigator
- Principal Investigator
  
  尾崎翔
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Hirosaki University
放射線治療で得られる疎な医用画像情報に対する深層画像処理の安定要件の探索
- Principal Investigator
  
  今江禄一
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  The University of Tokyo
Active clinical application of image generation and analysis using deep learning approach in radiation therapy
- Principal Investigator
  
  Nakagawa Keiichi
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  The University of Tokyo
Hybrid method for iterative CT reconstruction and deep learningPrincipal Investigator
- Principal Investigator
  
  Ozaki Sho
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hirosaki University
  The University of Tokyo

All 2024 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Cone-beam computed-tomography-based delta-radiomic analysis for investigating prognostic power for esophageal squamous cell cancer patients undergoing concurrent chemoradiotherapy2024
- Author(s)
  Nakamoto Takahiro、Yamashita Hideomi、Jinnouchi Haruka、Nawa Kanabu、Imae Toshikazu、Takenaka Shigeharu、Aoki Atsushi、Ohta Takeshi、Ozaki Sho、Nozawa Yuki、Nakagawa Keiichi
- Journal Title
  
  Physica Medica
  
  Volume: 117 Pages: 103182-103182
- DOI
  10.1016/j.ejmp.2023.103182
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K08073, KAKENHI-PROJECT-21K12121
[Journal Article] Training of deep cross‐modality conversion models with a small dataset, and their application in megavoltage CT to kilovoltage CT conversion2022
- Author(s)
  Ozaki S, Kaji S, Nawa K, Imae T, Aoki A, Nakamoto T, Ohta T, Nozawa Y, Yamashita H, Haga A, Nakagawa K
- Journal Title
  
  Medical Physics
  
  Volume: - Issue: 6 Pages: 1-14
- DOI
  10.1002/mp.15626
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K15625, KAKENHI-PROJECT-20H04278, KAKENHI-PROJECT-19K08093, KAKENHI-PROJECT-20K08073, KAKENHI-PROJECT-21K12121
[Journal Article] Training modality conversion models with small data and its application to MVCT to kVCT conversion2021
- Author(s)
  S. Ozaki, S. Kaji, K. Nawa, T. Imae, A. Aoki, T. Nakamoto, T. Ohta, Y. Nozawa, A. Haga and K. Nakagawa
- Journal Title
  
  Radiotherapy and Oncology
  
  Volume: 161 Pages: 586-587
- DOI
  10.1016/s0167-8140(21)07034-1
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K08093
[Journal Article] Improvement in Image Quality of CBCT during Treatment by Cycle Generative Adversarial Network2020
- Author(s)
  今江禄一, 鍛冶静雄, 木田智士, 松田佳奈子, 竹中重治, 青木淳, 仲本宗泰, 尾崎翔, 名和要武, 山下英臣, 中川恵一, 阿部修．
- Journal Title
  
  Japanese Journal of Radiological Technology
  
  Volume: 76 Issue: 11 Pages: 1173-1184
- DOI
  10.6009/jjrt.2020_JSRT_76.11.1173
- NAID
  130007941322
- ISSN
  0369-4305, 1881-4883
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K07667, KAKENHI-PROJECT-20K08073, KAKENHI-PROJECT-18K15625, KAKENHI-PROJECT-20H04278, KAKENHI-PROJECT-18J00599, KAKENHI-PROJECT-17K15799
[Journal Article] Visual enhancement of Cone‐beam CT by use of CycleGAN2020
- Author(s)
  Kida S, Kaji S, Nawa K, Imae T, Nakamoto T, Ozaki S, Ohta T, Nozawa Y, Nakagawa K.
- Journal Title
  
  Medical Physics
  
  Volume: 47(3) Issue: 3 Pages: 998-1010
- DOI
  10.1002/mp.13963
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K07667, KAKENHI-PROJECT-19K08093, KAKENHI-PROJECT-17K15799, KAKENHI-PROJECT-18K15625, KAKENHI-PROJECT-18J00599
[Journal Article] Fast Statistical Iterative Reconstruction for Mega-voltage Computed Tomography2020
- Author(s)
  S. Ozaki, A. Haga, E. Chao, C. Maurer, K. Nawa, T. Ohta, T. Nakamoto, Y. Nozawa, T. Magome, M. Nakano, K. Nakagawa
- Journal Title
  
  J. Med. Invest.
  
  Volume: 67 Issue: 1.2 Pages: 30-39
- DOI
  10.2152/jmi.67.30
- NAID
  130007839921
- ISSN
  1343-1420, 1349-6867
- Language
  English
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K08093, KAKENHI-PROJECT-18K15625, KAKENHI-PROJECT-18J00599, KAKENHI-PROJECT-19K08201, KAKENHI-PROJECT-18K15569, KAKENHI-PROJECT-18K15604
[Presentation] Image quality enhancement of medical images by use of deep learning with a small amount of training data2023
- Author(s)
  Sho Ozaki
- Organizer
  Interdisciplinary Science Conference in Okinawa (ISCO 2023) -Physics and Mathematics meet Medical Science-
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K08093
[Presentation] Iterative CT reconstruction with deep neural networks2023
- Author(s)
  Sho Ozaki
- Organizer
  The 2nd International Conference on Radiological Physics and Technology (ICRTP)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K08093
[Presentation] 深層ニューラルネットワーク及び拡散モデルを用いた逆問題解析手法の開発とそのCT画像再構成への応用2023
- Author(s)
  尾崎翔
- Organizer
  第４回『医学と数理』研究会
- Invited
- Data Source
  KAKENHI-PROJECT-21K12121
[Presentation] Iterative reconstruction of MVCT with deep neural networks2023
- Author(s)
  Sho Ozaki
- Organizer
  ESTRO 2023 Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K08093
[Presentation] Iterative reconstruction of MVCT with deep neural networks2023
- Author(s)
  S. Ozaki, S. Kaji, K. Nawa, T. Imae, and K. Nakagawa
- Organizer
  The European Society for Radiotherapy and Oncology (ESTRO) 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12121
[Presentation] Iterative CT reconstruction with deep neural networks2023
- Author(s)
  S. Ozaki, S. Kaji, K. Nawa, T. Imae, and K. Nakagawa
- Organizer
  The 2nd International Conference on Radiological Physics and Technology (ICRPT)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12121
[Presentation] Image quality enhancement of medical images by use of deep learning with a small amount of training data2022
- Author(s)
  Ozaki S, Kaji S, Nawa K, Imae T, Aoki A, Nakamoto T, Ohta T, Nozawa Y, Haga A, Nakagawa K.
- Organizer
  Interdisciplinary Science Conference in Okinawa (ISCO 2023) -Physics and Mathematics meet Medical Science-
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12121
[Presentation] Training modality conversion models with small data and its application to MVCT to kVCT conversion2021
- Author(s)
  Ozaki S, Kaji S, Nawa K, Imae T, Aoki A, Nakamoto T, Ohta T, Nozawa Y, Haga A, Nakagawa K
- Organizer
  ESTRO 2021 Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12121
[Presentation] Training modality conversion models with small data and its application to MVCT to kVCT conversion2021
- Author(s)
  Sho Ozaki
- Organizer
  ESTRO 2021 Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K08093
[Presentation] Denoising and Contrast Enhancement of MVCT Using Deep Learning-based Methods2021
- Author(s)
  尾崎翔
- Organizer
  第121回日本医学物理学会学術大会
- Data Source
  KAKENHI-PROJECT-19K08093
[Presentation] Denoising and Contrast Enhancement of MVCT Using Deep Learning-based Methods2021
- Author(s)
  Ozaki S, Kaji S, Nawa K, Imae T, Aoki A, Nakamoto T, Ohta T, Nozawa Y, Haga A, Nakagawa K
- Organizer
  第121回日本医学物理学会学術大会, 神奈川, 2021.4.15-18
- Data Source
  KAKENHI-PROJECT-21K12121
[Presentation] Denoising and Contrast Enhancement of MVCT Using Deep Learning-based methods2021
- Author(s)
  尾崎翔
- Organizer
  第121回日本医学物理学会学術集会
- Data Source
  KAKENHI-PROJECT-19K08093
[Presentation] Training modality conversion models with small data and its application to MVCT to kVCT conversion2021
- Author(s)
  Ozaki S, Kaji S, Nawa K, Imae T, Aoki A, Nakamoto T, Ohta T, Nozawa Y, Haga A, Nakagawa K
- Organizer
  ESTRO 2021 Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04278
[Presentation] Denoising and Contrast Enhancement of MVCT Using Deep Learning-based Methods2021
- Author(s)
  Ozaki S, Kaji S, Nawa K, Imae T, Aoki A, Nakamoto T, Ohta T, Nozawa Y, Haga A, Nakagawa K
- Organizer
  第121回日本医学物理学会学術大会
- Data Source
  KAKENHI-PROJECT-20H04278
[Presentation] Radiomic-based prediction of malignant glioma grades using preoperative contrast-enhanced T1WIs and T2WIs2020
- Author(s)
  Nakamoto T, Takahashi W, Haga A, Takahashi S, Kiryu S, Nawa K, Ohta T, Ozaki S, Nozawa Y, Nakagawa K
- Organizer
  第119回日本医学物理学会学術大会
- Data Source
  KAKENHI-PROJECT-20H04278
[Presentation] Imaging biomarker analysis for grading malignant gliomas based on a few conventional magnetic resonance imaging sequences2020
- Author(s)
  Nakamoto T, Takahashi W, Haga A, Takahashi S, Kiryu S, Nawa K, Ohta T, Ozaki S, Nozawa Y, Tanaka S, Mukasa A, Nakagawa K.
- Organizer
  2020 Joint AAPM COMP Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04278

1. 名和要武 (00456914)

# of Collaborated Projects: 2 results

# of Collaborated Products: 10 results
2. 鍛冶静雄 (00509656)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
3. 仲本宗泰 (10808877)

# of Collaborated Projects: 2 results

# of Collaborated Products: 8 results
4. 山下英臣 (70447407)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
5. 今江禄一 (80420222)

# of Collaborated Projects: 2 results

# of Collaborated Products: 8 results
6. Nakagawa Keiichi (80188896)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
7. 野沢勇樹 (00836918)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
8. 太田岳史 (20727408)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
9. 竹中重治 (10623564)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. KAJI Shizuo

# of Collaborated Projects: 0 results

# of Collaborated Products: 7 results

Ozaki Sho 尾崎 翔

Research Projects

Research Products

Co-Researchers

画像生成AIを組み込んだ革新的CT画像再構成法の放射線治療への応用Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

放射線治療で得られる疎な医用画像情報に対する深層画像処理の安定要件の探索

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Active clinical application of image generation and analysis using deep learning approach in radiation therapy

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Hybrid method for iterative CT reconstruction and deep learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Cone-beam computed-tomography-based delta-radiomic analysis for investigating prognostic power for esophageal squamous cell cancer patients undergoing concurrent chemoradiotherapy2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Training of deep cross‐modality conversion models with a small dataset, and their application in megavoltage CT to kilovoltage CT conversion2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Training modality conversion models with small data and its application to MVCT to kVCT conversion2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Improvement in Image Quality of CBCT during Treatment by Cycle Generative Adversarial Network2020

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] Visual enhancement of Cone‐beam CT by use of CycleGAN2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Fast Statistical Iterative Reconstruction for Mega-voltage Computed Tomography2020

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Presentation] Image quality enhancement of medical images by use of deep learning with a small amount of training data2023

Author(s)

Organizer

Data Source

[Presentation] Iterative CT reconstruction with deep neural networks2023

Author(s)

Organizer

Data Source

[Presentation] 深層ニューラルネットワーク及び拡散モデルを用いた逆問題解析手法の開発とそのCT画像再構成への応用2023

Author(s)

Organizer

Data Source

[Presentation] Iterative reconstruction of MVCT with deep neural networks2023

Author(s)

Organizer

Data Source

Ozaki Sho 尾崎翔