Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation

Published:2019-01-10 Issue:2 Volume:40 Page:224-230
ISSN:0195-6108
Container-title:American Journal of Neuroradiology
language:en
Short-container-title:AJNR Am J Neuroradiol

Author:

Hagiwara A.^ORCID,Otsuka Y.^ORCID,Hori M.^ORCID,Tachibana Y.^ORCID,Yokoyama K.^ORCID,Fujita S.^ORCID,Andica C.^ORCID,Kamagata K.^ORCID,Irie R.^ORCID,Koshino S.^ORCID,Maekawa T.^ORCID,Chougar L.^ORCID,Wada A.^ORCID,Takemura M.Y.^ORCID,Hattori N.^ORCID,Aoki S.^ORCID

Funder

AMED

ImPACT

Japan Society for the Promotion of Science

Publisher

American Society of Neuroradiology (ASNR)

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

Reference35 articles.

1. Cerebral magnetic resonance image synthesis;Bobman;AJNR Am J Neuroradiol,1985

2. Rapid magnetic resonance quantification on the brain: Optimization for clinical usage

3. Linearity, Bias, Intrascanner Repeatability, and Interscanner Reproducibility of Quantitative Multidynamic Multiecho Sequence for Rapid Simultaneous Relaxometry at 3 T

4. Synthetic Mri of the Brain in a Clinical Setting

5. Clinical Feasibility of Synthetic MRI in Multiple Sclerosis: A Diagnostic and Volumetric Validation Study

Cited by 64 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. Improving the lesion appearance on FLAIR images synthetized from quantitative MRI: a fast, hybrid approach;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-08-24

2. Ultrafast Brain MRI at 3 T for MS: Evaluation of a 51-Second Deep Learning-Enhanced T2-EPI-FLAIR Sequence;Diagnostics;2024-08-23

3. Beyond the Conventional Structural MRI;Investigative Radiology;2024-08-20

4. DeepFLAIR: A neural network approach to mitigate signal and contrast loss in temporal lobes at 7 Tesla FLAIR images;Magnetic Resonance Imaging;2024-07

5. Responsible Innovation in E-Health Care: Empowering Patients with Emerging Technologies;Marketing of Scientific and Research Organizations;2024-06-01

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