Radiological Physics and Technology - Awards
Doi Awards (for outstanding articles)
The Japanese Society of Radiological Technology (JSRT) and the Japan Society of Medical Physics (JSMP) established the Doi Award in 2008, to be given to the best article in each of three selection categories: Medical Imaging, Radiation Therapy, and Nuclear Medicine and Magnetic Resonance Imaging, annually. The Doi Award has been named in view of Professor Kunio Doi’s notable contributions to medical imaging and computer-aided diagnosis while he was Professor of Radiology at the University of Chicago for 40 years, and also as the first Editor-in-Chief of this journal.
2022 Winners
Patch-based artifact reduction for three-dimensional volume projection data of sparse-view micro-computed tomography (this opens in a new tab)
Takayuki Okamoto, Toshio Kumakiri & Hideaki Haneishi
Radiol Phys Technol. 2022;15:206–23.
Marker-less and calibration-less motion correction method for brain PET (this opens in a new tab)
Yuma Iwao, Go Akamatsu, Hideaki Tashima, Miwako Takahashi & Taiga Yamaya
Radiol Phys Technol. 2022;15:125–34.
First optical observation of 10B-neutron capture reactions using a boron-added liquid scintillator for quality assurance in boron neutron capture therapy (this opens in a new tab)
Akihiro Nohtomi, Hideya Maeda, Naoya Sakamoto, Genichiro Wakabayashi, Takushi Takata & Yoshinori Sakurai
Radiol Phys Technol. 2022;15:37–44.
Past winners can be found here (this opens in a new tab).
Most Citation Awards
The Japanese Society of Radiological Technology (JSRT) and the Japan Society of Medical Physics (JSMP) together provide annually the Most Citation Awards to up to three articles based on the number of citations in the following three years including the year they were published, in order to encourage publication of articles which would be referenced by many authors publishing in journals of Web of Science Core Collection.
2022 Winners (for articles published in 2020)
AI-based computer-aided diagnosis (AI-CAD): the latest review to read first (this opens in a new tab)
Hiroshi Fujita
Radiol Phys Technol. 2020;13:6–19.
A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features (this opens in a new tab)
Ayaka Sakai, Yuya Onishi, Misaki Matsui, Hidetoshi Adachi, Atsushi Teramoto, Kuniaki Saito & Hiroshi Fujita
Radiol Phys Technol. 2020;13:27–36.
An initial investigation of a wireless patient radiation dosimeter for use in interventional radiology (this opens in a new tab)
Yohei Inaba, Koichi Chida, Yuuki Murabayashi, Mime Endo, Kazuki Otomo & Masayuki Zuguchi
Radiol Phys Technol. 2020;13:321–6.
Past winners can be found here (this opens in a new tab).
Outstanding Reviewer Awards
The Japanese Society of Radiological Technology (JSRT) and the Japan Society of Medical Physics (JSMP) have decided to provide annually the Outstanding Reviewer Awards for reviewing papers submitted to Radiological Physics and Technology, in order to encourage high quality review of manuscripts submitted to this journal, and also to assist authors to improve their manuscripts. The selection of the winners is based on the evaluation of reviews by Editor-in-Chief and Deputy Editors.
2022 Winners
- Eleftherios Pappas, National and Kapodistrian University of Athens
- Masatoshi Kondo, Kyushu University
- Weishan Chang, Tokyo Metropolitan University
- Naoki Ohno, Kanazawa University
- Satoshi Ito, Utsunomiya University
- Hiroyuki Kudo, University of Tsukuba
Past winners can be found here (this opens in a new tab).