Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: Database‐free deep learning for fast imaging-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: Database‐free deep learning for fast imaging

Published:2018-09-18 Issue:1 Volume:81 Page:439-453
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med

Author:

Akçakaya Mehmet¹²,Moeller Steen²,Weingärtner Sebastian¹²³,Uğurbil Kâmil²

Affiliation:

1. Department of Electrical and Computer Engineering University of Minnesota Minneapolis Minnesota

2. Center for Magnetic Resonance Research University of Minnesota Minneapolis Minnesota

3. Computer Assisted Clinical Medicine University Medical Center Mannheim, Heidelberg University Mannheim Germany

Funder

National Institutes of Health

National Science Foundation

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.27420

Reference50 articles.

1. Fast Spiral Coronary Artery Imaging

2. SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k ‐space

3. Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays

4. SENSE: Sensitivity encoding for fast MRI

5. Generalized autocalibrating partially parallel acquisitions (GRAPPA)

Cited by 270 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. OCUCFormer: An Over-Complete Under-Complete Transformer Network for accelerated MRI reconstruction;Image and Vision Computing;2024-10

2. A Review of Optimization-Based Deep Learning Models for MRI Reconstruction;AppliedMath;2024-09-03

3. Model-based federated learning for accurate MR image reconstruction from undersampled k-space data;Computers in Biology and Medicine;2024-09

4. A novel low-rank reconstruction framework for precise fat-tumor discrimination in diffusion-weighted MRI;F1000Research;2024-08-13

5. Self‐supervised learning for improved calibrationless radial MRI with NLINV‐Net;Magnetic Resonance in Medicine;2024-07-30

同舟云学术

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