Radiology-Artificial Intelligence

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4739

WOS期刊分区历年影响因子同类期刊

影响因子：

8.1

ISSN：

print: 2638-6100
on-line: 2638-6100

自引率：

1.00%

Gold OA文章占比：

0.00%

原创研究文献占比：

94.44%

期刊介绍英文：

Radiology: Artificial Intelligence is a bi-monthly publication that focuses on the emerging applications of machine learning and artificial intelligence in the field of imaging across various disciplines. This journal is available online and accepts multiple manuscript types, including Original Research, Technical Developments, Data Resources, Review articles, Editorials, Letters to the Editor and Replies, Special Reports, and AI in Brief.

期刊介绍中文：

《Radiology-Artificial Intelligence》是一份双月刊，主要涵盖了机器学习和人工智能在各学科成像领域的新兴应用。该期刊可在线获取，接受多种稿件类型，包括原创研究、技术发展、数据资源、评论文章、社论、给编辑的信和回复、特别报告和 AI 简介。

CiteScore：

CiteScore	SJR	SNIP	CiteScore排名
16.2	2.602	2.585	学科排名百分位大类：Medicine 小类：Radiology, Nuclear Medicine and Imaging 6 / 333 98% 大类：Health Professions 小类：Radiological and Ultrasound Technology 3 / 63 96% 大类：Computer Science 小类：Artificial Intelligence 25 / 350 93%

发文信息

WOS期刊分区

学科分类
Q1COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Q1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

历年影响因子

2022年	9.8000
2023年	8.1000

历年发表

投稿信息

Radiology-Artificial Intelligence - 最新文献

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High- Resolution Short Echo Time MR Spectroscopy Datasets.

Pub Date : 2025-01-15 DOI: 10.1148/ryai.230579 Alexander S Giuffrida, Sulaiman Sheriff, Vicki Huang, Brent D Weinberg, Lee A D Cooper, Yuan Liu, Brian J Soher, Michael Treadway, Andrew A Maudsley, Hyunsuk Shim

Posttraining Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition.

Pub Date : 2025-01-15 DOI: 10.1148/ryai.240353 Tobias Weber, Jakob Dexl, David Rügamer, Michael Ingrisch

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

Pub Date : 2025-01-15 DOI: 10.1148/ryai.230544 Jia Kou, Jun-Yi Peng, Wen-Bing Lv, Chen-Fei Wu, Zi-Hang Chen, Guan-Qun Zhou, Ya-Qin Wang, Li Lin, Li-Jun Lu, Ying Sun

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