Selection of Radiological Physics and Technology Awards 2023.

IF 1.7 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Radiological Physics and Technology Pub Date : 2024-03-01 Epub Date: 2024-02-03 DOI:10.1007/s12194-024-00781-2

Nobuyuki Kanematsu, Fujio Araki, Katsuhiro Ichikawa, Tosiaki Miyati, Takeji Sakae, Junji Shiraishi, Yoshikazu Uchiyama, Taiga Yamaya

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评选 2023 年放射物理与技术奖。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Radiological Physics and Technology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

3.00

自引率

12.50%

发文量

期刊介绍： The purpose of the journal Radiological Physics and Technology is to provide a forum for sharing new knowledge related to research and development in radiological science and technology, including medical physics and radiological technology in diagnostic radiology, nuclear medicine, and radiation therapy among many other radiological disciplines, as well as to contribute to progress and improvement in medical practice and patient health care.

期刊最新文献

Acknowledgment. Evaluation of calculation accuracy and computation time in a commercial treatment planning system for accelerator-based boron neutron capture therapy. Development of deep learning-based novel auto-segmentation for the prostatic urethra on planning CT images for prostate cancer radiotherapy. Effect of deep learning reconstruction on the assessment of pancreatic cystic lesions using computed tomography. Assessment of accuracy and repeatability of quantitative parameter mapping in MRI.