Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Steven M. Robbins"'
Autor:
Robert D. Vincent, Peter Neelin, Najmeh Khalili-Mahani, Andrew Lindsay Janke, Vladimir S. Fonov, Steven M. Robbins, Leila Baghdadi, Jason Lerch, John G. Sled, Reza Adalat, David MacDonald, Alex P. Zijdenbos, D. Louis Collins, Alan Charles Evans
Publikováno v:
Frontiers in Neuroinformatics, Vol 10 (2016)
It is often useful that an imaging data format can afford rich metadata, be flexible, scale to very large file sizes, support multi-modal data, and have strong inbuilt mechanisms for data provenance. Beginning in 1992, MINC was developed as a system
Externí odkaz:
https://doaj.org/article/c2ebce1001564a03bbceade6909f4210
Autor:
Andrew L. Alexander, Alan C. Evans, Richard J. Davidson, Kim M. Dalton, Steven M. Robbins, Moo K. Chung
Publikováno v:
NeuroImage. 25:1256-1265
We present a novel data smoothing and analysis framework for cortical thickness data defined on the brain cortical manifold. Gaussian kernel smoothing, which weights neighboring observations according to their 3D Euclidean distance, has been widely u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2e802c9b56ed3a6b17d3165f3b2f23b
https://doi.org/10.1016/j.neuroimage.2004.12.052
https://doi.org/10.1016/j.neuroimage.2004.12.052
Publikováno v:
Medical Image Analysis. 8:311-323
Spatial normalization is a key process in cross-sectional studies of brain structure and function using MRI, fMRI, PET and other imaging techniques. A wide range of 2D surface and 3D image deformation algorithms have been developed, all of which invo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d31a70fc360df036a232b6d02e28a0da
https://doi.org/10.1016/j.media.2004.06.009
https://doi.org/10.1016/j.media.2004.06.009
Autor:
Anna Lubiw, Joseph O'Rourke, Mark H. Overmars, Sylvain Lazard, Martin L. Demaine, Ileana Streinu, Erik D. Demaine, Godfried T. Toussaint, Sue Whitesides, Therese C. Biedl, Steven M. Robbins
Publikováno v:
Discrete and Computational Geometry
Discrete and Computational Geometry, Springer Verlag, 2001, 26 (3), pp.269-281. ⟨10.1007/s00454-001-0038-7⟩
Discrete and Computational Geometry, 2001, 26 (3), pp.269-281. ⟨10.1007/s00454-001-0038-7⟩
Symposium on Discrete Algorithms-SODA'99
Symposium on Discrete Algorithms-SODA'99, Jan 1999, Baltimore, United States. pp.866-867
Discrete and Computational Geometry, Springer Verlag, 2001, 26 (3), pp.269-281. ⟨10.1007/s00454-001-0038-7⟩
Discrete and Computational Geometry, 2001, 26 (3), pp.269-281. ⟨10.1007/s00454-001-0038-7⟩
Symposium on Discrete Algorithms-SODA'99
Symposium on Discrete Algorithms-SODA'99, Jan 1999, Baltimore, United States. pp.866-867
Article dans revue scientifique avec comité de lecture.; International audience; This paper studies movements of polygonal chains in three dimensions whose links are not allowed to cross or change length. Our main result is an algorithmic proof that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c180853c6ad43f29373468d6c361936
https://hal.inria.fr/inria-00100521
https://hal.inria.fr/inria-00100521
Publikováno v:
Algorithms and Computation ISBN: 9783540669166
ISAAC
ISAAC
The original publication is available at www.springerlink.com; International audience; This paper considers reconfigurations of polygons, where each polygon edge is a rigid link, no two of which can cross during the motion. We prove that one can reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b8fc9c101edf3633f2dd6c25581ebe6
https://hal.inria.fr/inria-00098832/file/Convexifying_Monotone_Polygons_ISAAC99.pdf
https://hal.inria.fr/inria-00098832/file/Convexifying_Monotone_Polygons_ISAAC99.pdf
Publikováno v:
Scopus-Elsevier
Lecture Notes in Computer Science ISBN: 9783540204640
MICCAI (2)
Lecture Notes in Computer Science ISBN: 9783540204640
MICCAI (2)
Spatial normalization is a key process in cross-sectional studies of brain structure and function using MRI, fMRI, PET and other imaging techniques. A wide range of 3D image deformation algorithms have been developed, all of which involve design choi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d1cbafa29ca5a7c5d25a76e780ce6e4
http://www.scopus.com/inward/record.url?eid=2-s2.0-0344392191&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-0344392191&partnerID=MN8TOARS
Publikováno v:
Discrete & Computational Geometry; Aug2003, Vol. 30 Issue 2, p205-239, 35p
This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer