Japanese Journal of Radiology

Japanese Journal of Radiology
影响因子:
2.1
ISSN:
print: 1867-108X
研究领域:
Medicine-Radiology, Nuclear Medicine and Imaging
创刊年份:
2006年
h-index:
35
自引率:
4.80%
Gold OA文章占比:
30.21%
原创研究文献占比:
77.34%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore)
期刊介绍英文:
Japanese Journal of Radiology is a peer-reviewed journal, officially published by the Japan Radiological Society. The main purpose of the journal is to provide a forum for the publication of papers documenting recent advances and new developments in the field of radiology in medicine and biology. The scope of Japanese Journal of Radiology encompasses but is not restricted to diagnostic radiology, interventional radiology, radiation oncology, nuclear medicine, radiation physics, and radiation biology. Additionally, the journal covers technical and industrial innovations. The journal welcomes original articles, technical notes, review articles, pictorial essays and letters to the editor. The journal also provides announcements from the boards and the committees of the society. Membership in the Japan Radiological Society is not a prerequisite for submission. Contributions are welcomed from all parts of the world.
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
4区 医学
4区 核医学 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
WOS期刊分区
历年影响因子
2019年1.4390
2020年2.3740
2021年2.7010
2022年2.1000
历年发表
2012年152
2013年123
2014年127
2015年142
2016年280
2017年284
2018年102
2019年110
2020年190
2021年159
2022年133
投稿信息
出版周期:
Monthly
出版语言:
English
出版国家(地区):
JAPAN
出版商:
Springer Japan
编辑部地址:
SPRINGER, 233 SPRING ST, NEW YORK , USA, NY, 10013

Japanese Journal of Radiology - 最新文献

Comparative analysis of image quality and diagnostic performance among SS-EPI, MS-EPI, and rFOV DWI in bladder cancer.

Pub Date : 2024-11-16 DOI: 10.1007/s11604-024-01694-1 Mitsuru Takeuchi, Atsushi Higaki, Yuichi Kojima, Kentaro Ono, Takuma Maruhisa, Takatoshi Yokoyama, Hiroyuki Watanabe, Akira Yamamoto, Tsutomu Tamada

Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospects.

Pub Date : 2024-11-16 DOI: 10.1007/s11604-024-01689-y Shohei Fujita, Yasutaka Fushimi, Rintaro Ito, Yusuke Matsui, Fuminari Tatsugami, Tomoyuki Fujioka, Daiju Ueda, Noriyuki Fujima, Kenji Hirata, Takahiro Tsuboyama, Taiki Nozaki, Masahiro Yanagawa, Koji Kamagata, Mariko Kawamura, Akira Yamada, Takeshi Nakaura, Shinji Naganawa

Artificial intelligence in fracture detection on radiographs: a literature review.

Pub Date : 2024-11-14 DOI: 10.1007/s11604-024-01702-4 Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, Anna Russo, Alfonso Reginelli, Egidio Guerra, Francesca Grassi, Francesco Boccia
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