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Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.

A. Marquand, M. Howard, M. Brammer, C. Chu, S. Coen, and J. Miranda. NeuroImage, 49 (3): 2178-2189 (2010)

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F Himmel

-F Garcia

F Arndt

F Röpke

F Kessler

Other publications of authors with the same name

Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data.S. Kia, and A. Marquand. CoRR, (2018)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)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)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)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)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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Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.

Please choose a person to relate this publication to

F Himmel

-F Garcia

F Arndt

F Röpke

F Kessler

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 Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.

Please choose a person to relate this publication to

F Himmel

-F Garcia

F Arndt

F Röpke

F Kessler

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.