Super Resolution of Cardiac Cine MRI Sequences Using Deep Learning
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-00946-5_3
Reference17 articles.
1. Petersen, S.E., et al.: UK Biobank’s cardiovascular magnetic resonance protocol (2015)
2. Kramer, C.M., Barkhausen, J., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols, society for cardiovascular magnetic resonance: board of trustees task force on standardized protocols. J. Cardiovasc. Magn. Reson. 10(1), 35 (2008)
3. Ferreira, P.F., Gatehouse, P.D., Mohiaddin, R.H., Firmin, D.N.: Cardiovascular magnetic resonance artefacts. J. Cardiovasc. Magn. Reson. 15(1), 41 (2013)
4. Scheffler, K., Lehnhardt, S.: Principles and applications of balanced SSFP techniques. Eur. Radiol. 13(11), 2409–2418 (2003)
5. Caballero, J., Price, A.N., Rueckert, D., Hajnal, J.V.: Dictionary learning and time sparsity for dynamic MR data reconstruction. IEEE Trans. Med. Imaging 33(4), 979–994 (2014)
Cited by 19 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 deep learning framework for electrocardiogram (ECG) super resolution and arrhythmia classification;Research on Biomedical Engineering;2024-02-24
2. Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations;Computers in Biology and Medicine;2023-09
3. Recent advances in highly accelerated 3D MRI;Physics in Medicine & Biology;2023-07-10
4. Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images;IEEE Journal of Biomedical and Health Informatics;2023-07
5. Deep learning architecture for 3D image super-resolution of late gadolinium enhanced cardiac MRI;Journal of Medical Imaging;2023-05-24
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