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Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data.

A. O'Harney, A. Marquand, K. Rubia, K. Chantiluke, A. Smith, A. Cubillo, C. Blain, and M. Filippone. ICPR, page 3185-3190. IEEE Computer Society, (2014)

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F Georgi

F Schiemann

F Gütlbauer

F Arndt

F Röpke

Other publications of authors with the same name

Deep neural networks learn general and clinically relevant representations of the ageing brain.E. Leonardsen, H. Peng, T. Kaufmann, I. Agartz, O. Andreassen, E. Celius, T. Espeseth, H. Harbo, E. Høgestøl, A. de Lange and 9 other author(s). NeuroImage, (2022)Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data.S. Kia, and A. Marquand. CoRR, (2018)Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data.S. Kia, H. Huijsdens, R. Dinga, T. Wolfers, M. Mennes, O. Andreassen, L. Westlye, C. Beckmann, and A. Marquand. MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 699-709. Springer, (2020)Bayesian multi-task learning for decoding multi-subject neuroimaging data.A. Marquand, M. Brammer, S. Williams, and O. Doyle. NeuroImage, (2014)Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models.J. Bayer, R. Dinga, S. Kia, A. Kottaram, T. Wolfers, J. Lv, A. Zalesky, L. Schmaal, and A. Marquand. NeuroImage, (2022)A Bayesian spatial model for neuroimaging data based on biologically informed basis functions.I. Huertas, M. Oldehinkel, E. van Oort, D. Garcia-Solis, P. Mir, C. Beckmann, and A. Marquand. NeuroImage, (2017)Warped Bayesian linear regression for normative modelling of big data.C. Fraza, R. Dinga, C. Beckmann, and A. Marquand. NeuroImage, (2021)Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data.S. Kia, C. Beckmann, and A. Marquand. CoRR, (2018)Test-retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers.S. Simoni, A. Schwarz, O. O'Daly, A. Marquand, C. Brittain, C. Gonzales, S. Stephenson, S. Williams, and M. Mehta. NeuroImage, (2013)Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach.C. Ecker, V. Rocha-Rego, P. Johnston, J. Miranda, A. Marquand, E. Daly, M. Brammer, C. Murphy, and D. Murphy. NeuroImage, 49 (1): 44-56 (2010)

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Disambiguation of "Marquand, Andre F."

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Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data.

Please choose a person to relate this publication to

F Georgi

F Schiemann

F Gütlbauer

F Arndt

F Röpke

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Marquand, Andre F."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data.

Please choose a person to relate this publication to

F Georgi

F Schiemann

F Gütlbauer

F Arndt

F Röpke

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data.