Rapid lumbar MRI protocol using 3D imaging and deep learning reconstruction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Link
https://link.springer.com/content/pdf/10.1007/s00256-022-04268-2.pdf
Reference22 articles.
1. Patel ND, et al. ACR appropriateness criteria low back pain. J Am Coll Radiol. 2016;13:1069–78.
2. Sebro R. Leveraging the electronic health record to evaluate the validity of the current RVU system for radiologists. Clin Imaging. 2021;78:286–92.
3. Sartoretti E, et al. Reduction of procedure times in routine clinical practice with compressed SENSE magnetic resonance imaging technique. PLoS ONE. 2019;14:e0214887.
4. Chea P, Mandell JC. Current applications and future directions of deep learning in musculoskeletal radiology. Skeletal Radiol. 2020;49:183–97.
5. Martín Noguerol T, Paulano-Godino F, Martín-Valdivia MT, Menias CO, Luna A. Strengths, weaknesses, opportunities, and threats analysis of artificial intelligence and machine learning applications in radiology. J American College of Radiol. 2019;16:1239–47.
Cited by 12 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 State-of-the-Art Survey of Deep Learning for Lumbar Spine Image Analysis: X-Ray, CT, and MRI;AI Medicine;2024-07-17
2. Diagnostic utility of 3D MRI sequences in the assessment of central, recess and foraminal stenoses of the spine: a systematic review;Skeletal Radiology;2024-04-27
3. Editorial Comment: Rapid Protocols—An Opportunity for Growth in Pediatric MRI;American Journal of Roentgenology;2024-04
4. Imaging of Discogenic and Vertebrogenic Pain;Radiologic Clinics of North America;2024-03
5. Practical Applications of Artificial Intelligence in Spine Imaging;Radiologic Clinics of North America;2024-03
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