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A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging.

W. Crum, D. Rueckert, M. Jenkinson, D. Kennedy, и S. Smith. MICCAI (1), том 3216 из Lecture Notes in Computer Science, стр. 679-686. Springer, (2004)

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Stephen Smith

Stephen M Stigler

David Smith

George Smith

Annette Smith

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Segmentation of Brain MR Images through a Hidden Markov Random Field Model and the Expectation Maximization Algorithm.Y. Zhang, M. Brady, и S. Smith. IEEE Trans. Medical Imaging, 20 (1): 45-57 (2001)Crossing fibres in tract-based spatial statistics.S. Jbabdi, T. Behrens, и S. Smith. NeuroImage, 49 (1): 249-256 (2010)General multilevel linear modeling for group analysis in FMRI.C. Beckmann, M. Jenkinson, и S. Smith. NeuroImage, 20 (2): 1052-1063 (2003)Tensorial extensions of independent component analysis for multisubject FMRI analysis.C. Beckmann, и S. Smith. NeuroImage, 25 (1): 294-311 (2005)fMRI resting state networks define distinct modes of long-distance interactions in the human brain.M. Luca, C. Beckmann, N. Stefano, P. Matthews, и S. Smith. NeuroImage, 29 (4): 1359-1367 (2006)Modelling subject variability in the spatial and temporal characteristics of functional modes.S. Harrison, J. Bijsterbosch, A. Segerdahl, S. Fitzgibbon, S. Farahibozorg, E. Duff, S. Smith, и M. Woolrich. NeuroImage, (2020)How reliable are MEG resting-state connectivity metrics?G. Colclough, M. Woolrich, P. Tewarie, M. Brookes, A. Quinn, и S. Smith. NeuroImage, (2016)The future of FMRI connectivity.S. Smith. NeuroImage, 62 (2): 1257-1266 (2012)ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping.C. Bass, M. da Silva, C. Sudre, P. Tudosiu, S. Smith, и E. Robinson. NeurIPS, (2020)A Machine Learning Approach to Diffusion MRI Partial Volume Estimation.E. Vallée, W. Wu, F. Galassi, S. Jbabdi, и S. Smith. SASHIMI@MICCAI, том 11037 из Lecture Notes in Computer Science, стр. 42-51. Springer, (2018)

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