Segmentation of Left Ventricle in Cardiac Cine MRI: An Automatic Image-Driven Method
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-01932-6_37
Reference22 articles.
1. Lorenzo-Valdés, M., Sanchez-Ortiz, G.I., Elkington, A.G., Mohiaddin, R.H., Rueckert, D.: Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm. Med. Image Anal. 8(3), 255–265 (2004)
2. Pednekar, A., Kurkure, U., Muthupillai, R., Flamm, S., Kakadiaris, I.A.: Automated left ventricular segmentation in cardiac MRI. IEEE Trans. Biomed. Eng. 53(7), 1425–1428 (2006)
3. Uzümcü, M., van der Geest, R.J., Swingen, C., Reiber, J.H., Lelieveldt, B.P.: Time continuous tracking and segmentation of cardiovascular magnetic resonance images using multidimensional dynamic programming. Invest. Radiol. 41(1), 52–62 (2006)
4. Rezaee, M.R., van der Zwet, P.J., Lelieveldt, B.E., van der Geest, R.J., Reiber, J.C.: A multi-resolution image segmentation technique based on pyramidal segmentation and fuzzy clustering. IEEE Trans. Image Process 9(7), 1238–1248 (2000)
5. Kaus, M.R., von Berg, J., Weese, J., Niessen, W., Pekar, V.: Automated segmentation of the left ventricle in cardiac MRI. Med. Image Anal. 8(3), 245–254 (2004)
Cited by 35 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. A comprehensive review on deep cardiovascular disease detection approaches: its datasets, image modalities and methods;Multimedia Tools and Applications;2024-04-16
2. Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning;Journal of Imaging Informatics in Medicine;2024-02-12
3. Localization of Left Ventricular Epicardium and Endocardium Using Convolutional Neural Network and Transfer Learning;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13
4. Left Ventricle Segmentation in Cardiac MR Images via an Improved ResUnet;International Journal of Biomedical Imaging;2022-07-08
5. Technical Note: Fully automatic segmental relaxometry (FASTR) for cardiac magnetic resonance T1 mapping;Medical Physics;2021-03-11
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