Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications,Software
Reference34 articles.
1. Coronary CT Angiography, StatPearls;Ramjattan,2019
2. Big Data Deep Learning: challenges and Perspectives;Chen;IEEE. Access.,2014
3. Guest Editorial Deep Learning in Medical Imaging: overview and Future Promise of an Exciting New Technique;Greenspan;IEEE Trans. Med. Imaging.,2016
4. Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture;Xu;Med. Image Anal.,2018
5. Value of three-dimensional strain parameters for predicting left ventricular remodeling after ST-elevation myocardial infarction;Xu;Int. J. Cardiovasc. Imaging.,2017
Cited by 37 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. Cardiovascular Computed Tomography in the Diagnosis of Cardiovascular Disease: Beyond Lumen Assessment;Journal of Cardiovascular Development and Disease;2024-01-12
2. Fully automated artificial intelligence-based coronary CT angiography image processing: efficiency, diagnostic capability, and risk stratification;European Radiology;2024-01-09
3. Development of AI-Based Prediction of Heart Attack Risk as an Element of Preventive Medicine;Electronics;2024-01-07
4. CASMatching strategy for automated detection and quantification of carotid artery stenosis based on digital subtraction angiography;Computer Methods and Programs in Biomedicine;2024-01
5. Editorial: Artificial intelligence applications in chronic ocular diseases;Frontiers in Cell and Developmental Biology;2023-12-07
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