Cardiac MRI Segmentation Using Mutual Context Information from Left and Right Ventricle
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1007/s10278-013-9573-z.pdf
Reference48 articles.
1. Allender S: European Cardiovascular Disease Statistics. European Heart Network. 2008
2. A.F. Frangi, W.J. Niessen, and M.A. Viergever, “Three dimensional modeling for functional analysis of cardiac images: a review,” IEEE Trans Med. Imag, vol. 20, no. 1, pp. 2–25, 2001
3. C. Petitjean and J-N. Dacher, “A review of segmentation methods in short axis cardiac mr images,” Med. Imag. Anal., vol. 15, no. 2, pp. 169–184, 2011
4. S. Shors, C. Fung, C. Francois, P. Finn, and D. Fieno, “Accurate quantification of right ventricular mass at MR imaging by using cine true fast imaging with steady state precession: study in dogs.,” Radiology, vol. 230, no. 2, pp. 383–388, 2004
5. Jolly MP: Automatic recovery of the left ventricle blood pool in cardiac cine MR images. In: MICCAI, 2008, pp 110–118
Cited by 11 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-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation;Computerized Medical Imaging and Graphics;2023-03
2. Left Ventricle Segmentation in Cardiac MR: A Systematic Mapping of the Past Decade;ACM Computing Surveys;2022-01-31
3. A review of approaches investigated for right ventricular segmentation using short‐axis cardiac MRI;IET Image Processing;2021-03-14
4. Automatic cardiac MRI segmentation and permutation-invariant pathology classification using deep neural networks and point clouds;Neurocomputing;2020-12
5. Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images;IEEE Transactions on Biomedical Engineering;2018-09
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