PAT-CNN: Automatic Segmentation and Quantification of Pericardial Adipose Tissue from T2-Weighted Cardiac Magnetic Resonance Images
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23443-9_33
Reference26 articles.
1. Benčević, M., Galić, I., Habijan, M., Pižurica, A.: Recent progress in epicardial and pericardial adipose tissue segmentation and quantification based on deep learning: a systematic review. Appl. Sci. 12(10), 5217 (2022). https://doi.org/10.3390/app12105217
2. Britton, K.A., Massaro, J.M., Murabito, J.M., Kreger, B.E., Hoffmann, U., Fox, C.S.: Body fat distribution, incident cardiovascular disease, cancer, and all-cause mortality. J. Am. Coll. Cardiol. 62(10), 921–925 (2013). https://doi.org/10.1016/J.JACC.2013.06.027
3. Cai, S., et al.: Cardiac MRI measurements of pericardial adipose tissue volumes in patients on in-centre nocturnal hemodialysis. J. Nephrol. 33(2), 355–363 (2019). https://doi.org/10.1007/s40620-019-00665-4
4. Cheng, V.Y., et al.: Pericardial fat burden on ECG-gated noncontrast CT in asymptomatic patients who subsequently experience adverse cardiovascular events. JACC Cardiovasc. Imaging 3(4), 352–360 (2010). https://doi.org/10.1016/J.JCMG.2009.12.013
5. Commandeur, F., et al.: Deep learning for quantification of epicardial and thoracic adipose tissue from non-contrast CT. IEEE Trans. Med. Imaging 37(8), 1835–1846 (2018). https://doi.org/10.1109/TMI.2018.2804799
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deep neural network architectures for cardiac image segmentation;Artificial Intelligence in the Life Sciences;2023-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3