Robust, accurate and fast automatic segmentation of the spinal cord-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Robust, accurate and fast automatic segmentation of the spinal cord

Published:2014-09 Issue: Volume:98 Page:528-536
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

De Leener Benjamin,Kadoury Samuel,Cohen-Adad Julien

Funder

SensoriMotor Rehabilitation Research Team (SMRRT) of the Canadian Institute of Health Research

National MS Society

Fonds de Recherche du Québec — Santé (FRQS)

Quebec BioImaging Network (QBIN)

Natural Sciences and Engineering Research Council of Canada (NSERC)

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference29 articles.

1. A knowledge-based approach to automatic detection of the spinal cord in CT images;Archip;IEEE Trans. Med. Imaging,2002

2. Mesh: measuring errors between surfaces using the Hausdorff distance;Aspert,2002

3. Generalizing the Hough transform to detect arbitrary shapes;Ballard;Pattern Recognit.,1981

4. Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view;Chen;Neuroimage,2013

5. Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI;Cohen-Adad;Neuroimage,2011

Cited by 126 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. Advanced MRI metrics improve the prediction of baseline disease severity for individuals with degenerative cervical myelopathy;The Spine Journal;2024-09

2. Evaluation of cervical spinal cord atrophy using a modified SIENA approach;NeuroImage;2024-09

3. MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image;Artificial Intelligence in Medicine;2024-02

4. Spinal fMRI demonstrates segmental organisation of functionally connected networks in the cervical spinal cord: A test–retest reliability study;Human Brain Mapping;2024-01-31

5. SCIseg: Automatic Segmentation of T2-weighted Intramedullary Lesions in Spinal Cord Injury;2024-01-03

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