Labeling the Brain Surface Using a Deformable Multiresolution Mesh
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/3-540-45786-0_56
Reference14 articles.
1. S. Sandor and R. Leahy. Surface-based labeling of cortical anatomy using a deformable atlas. IEEE Transactions on Medical Imaging, 16(1):41–54, February 1997.
2. J.L. Lancaster, L.H. Rainey, J.L. Summerlin, C.S. Freitas, P.T. Fox, A.C. Evans, A.W. Toga, and J.C. Mazziotta. Automated labeling of the human brain: a preliminary report on the development and evaluation of a forward-transform method. Human Brain Mapping, 5(4):238–242, 1997.
3. J.L. Lancaster, M.G. Woldorff, L.M. Parsons, M. Liotti, C.S. Freitas, L. Rainey, P.V. Kochunov, D. Nickerson, S.A. Mikiten, and Fox P.T. Automated tailarach atlas labels for functional brain mapping. Human Brain Mapping, 10(3):120–131, July 2000.
4. G. Le Goualher, E. Procyk, D.L. Collins, R. Venugopal, G., C. Barillot, and A.C. Evans. Automated extraction and variability analysis of sulcal neuroanatomy. IEEE Transactions on Medical Imaging, 18(3):206–217, March 1999.
5. G. Lohmann and D.Y. von Cramon. Automatic labelling of the human cortical surface using sulcal basins. Medical Image Analysis, 4(3):179–188, September 2000.
Cited by 8 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 pipeline to characterize local cortical folds by mapping them to human-interpretable shapes;2020-11-26
2. A Patch-Based Segmentation Approach with High Level Representation of the Data for Cortical Sulci Recognition;Patch-Based Techniques in Medical Imaging;2018
3. Construction of statistical shape atlases for bone structures based on a two-level framework;The International Journal of Medical Robotics and Computer Assisted Surgery;2009
4. Femur statistical atlas construction based on two-level 3D non-rigid registration;Computer Aided Surgery;2009-01
5. Parcellation of the Auditory Cortex into Landmark–Related Regions of Interest;Computer Analysis of Images and Patterns;2009
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