Author Correction: Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks

IF 14.7 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Nature Communications Pub Date : 2024-11-19 DOI:10.1038/s41467-024-54209-x

Ertunc Erdil, Anton S. Becker, Moritz Schwyzer, Borja Martinez-Tellez, Jonatan R. Ruiz, Thomas Sartoretti, H. Alberto Vargas, A. Irene Burger, Alin Chirindel, Damian Wild, Nicola Zamboni, Bart Deplancke, Vincent Gardeux, Claudia Irene Maushart, Matthias Johannes Betz, Christian Wolfrum, Ender Konukoglu

引用次数: 0

Abstract

Correction to: Nature Communications https://doi.org/10.1038/s41467-024-52622-w, published online 27 September 2024

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作者更正：利用卷积神经网络从 CT 扫描预测棕色脂肪组织的标准化摄取值

更正为自然通讯 https://doi.org/10.1038/s41467-024-52622-w，2024 年 9 月 27 日在线发表

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

Nature Communications Biological Science Disciplines-

CiteScore

24.90

自引率

2.40%

发文量

6928

审稿时长

3.7 months

期刊介绍： Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.