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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 16 Similar Profiles
Radiotherapy Medicine & Life Sciences
Prostatic Neoplasms Medicine & Life Sciences
Japan Medicine & Life Sciences
radiation therapy Physics & Astronomy
cancer Physics & Astronomy
Non-Small Cell Lung Carcinoma Medicine & Life Sciences
Brachytherapy Medicine & Life Sciences
Esophageal Neoplasms Medicine & Life Sciences

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Research Output 1998 2019

  • 705 Citations
  • 14 h-Index
  • 81 Article
  • 10 Review article
  • 2 Conference contribution

Dose evaluation indices for total body irradiation using TomoDirect with different numbers of ports: A comparison with the TomoHelical method

Kasai, Y., Fukuyama, Y., Terashima, H., Nakamura, K. & Sasaki, T., Feb 1 2019, In : Journal of Applied Clinical Medical Physics. 20, 2, p. 129-135 7 p.

Research output: Contribution to journalArticle

Open Access
Whole-Body Irradiation

Japanese structure survey of radiation oncology in 2010

Japanese Society for Radiation Oncology Database Committee, Jan 1 2019, In : Journal of radiation research. 60, 1, p. 80-97 18 p.

Research output: Contribution to journalArticle

Open Access
Radiation Oncology
radiation therapy
Intensity-Modulated Radiotherapy
3 Citations (Scopus)

Additional radiotherapy following endoscopic submucosal dissection for T1a-MM/T1b-SM esophageal squamous cell carcinoma improves locoregional control

Hisano, O., Nonoshita, T., Hirata, H., Sasaki, T., Watanabe, H., wakiyama, H., Ono, M., Saiji, O. & Honda, H., Jan 29 2018, In : Radiation Oncology. 13, 1, 14.

Research output: Contribution to journalArticle

Esophageal Neoplasms
Esophageal Stenosis
Squamous Cell Neoplasms
Endoscopic Mucosal Resection
1 Citation (Scopus)

A randomised phase II trial of S-1 plus cisplatin versus vinorelbine plus cisplatin with concurrent thoracic radiotherapy for unresectable, locally advanced non-small cell lung cancer: WJOG5008L

Sasaki, T., Seto, T., Yamanaka, T., Kunitake, N., Shimizu, J., Kodaira, T., Nishio, M., Kozuka, T., Takahashi, T., Harada, H., Yoshimura, N., Tsutsumi, S., Kitajima, H., Kataoka, M., Ichinose, Y., Nakagawa, K., Nishimura, Y., Yamamoto, N. & Nakanishi, Y., Sep 11 2018, In : British journal of cancer. 119, 6, p. 675-682 8 p.

Research output: Contribution to journalArticle

Non-Small Cell Lung Carcinoma

Bayesian delineation framework of clinical target volumes for prostate cancer radiotherapy using an anatomical-features-based machine learning technique

Ninomiya, K., Arimura, H., Sasahara, M., Hirose, T., Saiji, O., Umezu, Y., Honda, H. & Sasaki, T., Jan 1 2018, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei, B. & Webster, R. J. (eds.). SPIE, 105761Z. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10576).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

machine learning
Learning systems