Kamezawa Hidemi 亀澤秀美

Researcher Number	50759503
Other IDs	https://orcid.org/0000-0002-8163-9230
Affiliation (Current)	2024: 帝京大学, 公私立大学の部局等, 准教授
Affiliation (based on the past Project Information) *help	2022: 帝京大学, 福岡医療技術学部, 准教授 2019 – 2022: 帝京大学, 公私立大学の部局等, 講師 2018 – 2019: 帝京大学, 福岡医療技術学部, 講師 2017: 帝京大学, 福岡医療技術学部, 助教
Review Section/Research Field	Principal Investigator Basic Section 52040:Radiological sciences-related / Medical Physics and Radiological Technology Except Principal Investigator Basic Section 56050:Otorhinolaryngology-related
Keywords	Principal Investigator Radiomics / レディオミクス / 画像支援治療 / 治療抵抗性細胞 / 再発予測 / 放射線治療支援 / 医学物理学 / 深層学習 / 悪性度予測 / 耳下腺癌 … More / radiomics / 悪性度 / 生存率 / 予後予測 / 頭頸部癌 … More Except Principal Investigator 画像診断 / 遺伝子解析 / SCCA2 / SCCA1 / SCC抗原 / 乳頭腫由来癌 / 鼻副鼻腔乳頭腫 Less

Development of image-assisted therapy to identify therapy-resistant cells inside cancer using virtual biopsies.Principal Investigator
- Principal Investigator
  
  亀澤秀美
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Teikyo University
鼻副鼻腔乳頭腫由来癌の癌化予測法確立と予測因子の網羅的解析
- Principal Investigator
  
  安松隆治
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 56050:Otorhinolaryngology-related
- Research Institution
  Kindai University
  Kyushu University
Development of innovative radiotherapy support system with predictable prognosis in head and neck cancerPrincipal Investigator
- Principal Investigator
  
  Kamezawa Hidemi
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Medical Physics and Radiological Technology
- Research Institution
  Teikyo University

All 2022 2020 2019 2018

All Journal Article Presentation

[Journal Article] Recurrence prediction with local binary pattern-based dosiomics in patients with head and neck squamous cell carcinoma2022
- Author(s)
  Kamezawa Hidemi、Arimura Hidetaka
- Journal Title
  
  Physical and Engineering Sciences in Medicine
  
  Volume: 46 Issue: 1 Pages: 99-107
- DOI
  10.1007/s13246-022-01201-8
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K08084, KAKENHI-PROJECT-22K15808
[Journal Article] MR-radiomic biopsy for estimation of malignancy grade in parotid gland cancer2020
- Author(s)
  Kamezawa Hidemi、Arimura Hidetaka、Yasumatsu Ryuji、Ninomiya Kenta
- Journal Title
  
  Proc. SPIE 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 1131818
  
  Volume: 11318 Pages: 41-41
- DOI
  10.1117/12.2549462
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K15808
[Journal Article] Radiomics-based malignancy prediction of parotid gland tumor2019
- Author(s)
  H. Kamezawa, H. Arimura, R. Yasumatsu, K. Ninomiya, S. Haseai
- Journal Title
  
  Proc. SPIE 11050
  
  Volume: - Pages: 26-26
- DOI
  10.1117/12.2521362
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K15808
[Journal Article] Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network2018
- Author(s)
  H. Kamezawa, H. Arimura, M. Soufi
- Journal Title
  
  Proc. SPIE 10579
  
  Volume: - Pages: 43-43
- DOI
  10.1117/12.2293415
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K15808
[Presentation] レディオミクスを用いた頭頸部癌の再発予測モデル構築2022
- Author(s)
  亀澤秀美; 矢仁田紗恵; 中村有希; 松林輝; 島田舞紀; 仁科祥子
- Organizer
  第124回日本医学物理学会学術大会
- Data Source
  KAKENHI-PROJECT-22K15808
[Presentation] Topology-based Radiomics and Dosiomics Model for Predicting Recurrence in Head and Neck Squamous Cell Carcinoma2022
- Author(s)
  Hidemi Kamezawa; Hidetaka Arimura
- Organizer
  The 22nd Asia-Oceania Congress on Medical Physics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K15808
[Presentation] MR-radiomic biopsy for estimation of malignancy grade in parotid gland cancer2020
- Author(s)
  Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Kenta Ninomiya
- Organizer
  SPIE Medical Imaging 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15808
[Presentation] Radiomics-based malignancy estimation of parotid gland tumor using preoperative magnetic resonance images2019
- Author(s)
  Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Soufi Mazen, Kenta Ninomiya, Shu Haseai
- Organizer
  第117回日本医学物理学会学術大会
- Data Source
  KAKENHI-PROJECT-17K15808
[Presentation] Deep learning-based malignancy grade prediction models of parotid gland cancer using preoperative MR images2019
- Author(s)
  Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Kenta Ninomiya, Shu Haseai
- Organizer
  American Association of Physicists in Medicine 61th annual meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15808
[Presentation] Radiomics-based Malignancy Prediction of Parotid Gland Tumor2019
- Author(s)
  H. Kamezawa, H. Arimura, R. Yasumatsu, K. Ninomiya, S. Haseai
- Organizer
  IFMIA2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15808
[Presentation] Radiomics-based prediction of malignant potential in patients with parotid gland cancer2018
- Author(s)
  Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Mazen Souf, Shu Haseai and Kenta Ninomiya
- Organizer
  RSNA 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15808
[Presentation] Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network2018
- Author(s)
  H. Kamezawa, H. Arimura, M. Soufi
- Organizer
  SPIE 10579, Medical Imaging 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15808

1. 安松隆治 (00444787)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 有村秀孝 (20287353)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
3. 内龍太郎 (80780840)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Kamezawa Hidemi 亀澤 秀美

Research Projects

Research Products

Co-Researchers

Development of image-assisted therapy to identify therapy-resistant cells inside cancer using virtual biopsies.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

鼻副鼻腔乳頭腫由来癌の癌化予測法確立と予測因子の網羅的解析

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of innovative radiotherapy support system with predictable prognosis in head and neck cancerPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Recurrence prediction with local binary pattern-based dosiomics in patients with head and neck squamous cell carcinoma2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] MR-radiomic biopsy for estimation of malignancy grade in parotid gland cancer2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Radiomics-based malignancy prediction of parotid gland tumor2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network2018

Author(s)

Journal Title

DOI

Data Source

[Presentation] レディオミクスを用いた頭頸部癌の再発予測モデル構築2022

Author(s)

Organizer

Data Source

[Presentation] Topology-based Radiomics and Dosiomics Model for Predicting Recurrence in Head and Neck Squamous Cell Carcinoma2022

Author(s)

Organizer

Data Source

[Presentation] MR-radiomic biopsy for estimation of malignancy grade in parotid gland cancer2020

Author(s)

Organizer

Data Source

[Presentation] Radiomics-based malignancy estimation of parotid gland tumor using preoperative magnetic resonance images2019

Author(s)

Organizer

Data Source

[Presentation] Deep learning-based malignancy grade prediction models of parotid gland cancer using preoperative MR images2019

Author(s)

Organizer

Data Source

[Presentation] Radiomics-based Malignancy Prediction of Parotid Gland Tumor2019

Author(s)

Organizer

Data Source

[Presentation] Radiomics-based prediction of malignant potential in patients with parotid gland cancer2018

Author(s)

Organizer

Data Source

[Presentation] Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network2018

Author(s)

Organizer

Data Source

Kamezawa Hidemi 亀澤秀美