Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
博士（保健学）, Kyushu University
… → Mar 2017
修士（保健科学）, 首都大学東京
… → Mar 2007
学士（放射線学）, Tokyo Metropolitan University of Health Sciences
… → Mar 2005
External positions
Harvard T.H.Chan School of Public Health
Jul 2023 → Sep 2023
准教授, 帝京大学大学院保健学研究科
Jul 2022 → …
准教授, Teikyo University
Jul 2022 → …
帝京大学アジア国際感染症制御研究所・兼担教授
Apr 2022 → …
帝京大学アジア国際感染症制御研究所・兼担教授
Apr 2022 → …
診療放射線技師（非常勤）, 帝京大学アジア国際感染症制御研究所・兼担教授
Mar 2022 → …
講師, 帝京大学大学院保健学研究科
Apr 2018 → Jun 2022
講師, Teikyo University
Apr 2018 → Jun 2022
学術研究員（共同研究員）, Kyushu University
Apr 2017 → …
助教, Teikyo University
Apr 2015 → Mar 2018
診療放射線技師, Teikyo University
Apr 2013 → Mar 2015
診療放射線技師, Teikyo University
Apr 2007 → Mar 2013
学生研究員, Teikyo University
Apr 2005 → Mar 2007
診療放射線技師（臨時職員）, Teikyo University
Apr 2005 → Mar 2007
Keywords
- Artificial Intelligence
Research Fields
- Radiological sciences
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Radiodosiomics Prediction of Treatment Failures Prior to Chemoradiotherapy in Head-and-Neck Squamous Cell Carcinoma
Kamezawa, H. & Arimura, H., Jun 2025, In: Applied Sciences (Switzerland). 15, 12, 6941.Research output: Contribution to journal › Article › peer-review
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Deep Learning-based Lung dose Prediction Using Chest X-ray Images in Non-small Cell Lung Cancer Radiotherapy
Aoyama, T., Shimizu, H., Koide, Y., Kamezawa, H., Fukunaga, J. I., Kitagawa, T., Tachibana, H., Suzuki, K. & Kodaira, T., 2024, In: Journal of Medical Physics. 49, 1, p. 33-40 8 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
咽頭癌患者に対するradiomics/dosiomicsに基づく新しい治療失敗予測(Novel radiomics/dosiomics-based treatment failure prediction for pharyngeal cancer patients)
Hidemi, K. & Hidetaka, A., Mar 2024, In: 日本放射線技術学会総会学術大会予稿集. 80回, p. 304Research output: Contribution to journal › Conference article › peer-review
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Recurrence prediction with local binary pattern-based dosiomics in patients with head and neck squamous cell carcinoma
Kamezawa, H. & Arimura, H., Mar 2023, In: Physical and Engineering Sciences in Medicine. 46, 1, p. 99-107 9 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Topology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance images
Ikushima, K., Arimura, H., Yasumatsu, R., Kamezawa, H. & Ninomiya, K., Oct 2023, In: Magnetic Resonance Materials in Physics, Biology and Medicine. 36, 5, p. 767-777 11 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations