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Andre F Marquand
Andre F Marquand
Professor of Computational Psychiatry, Donders Institute / Kings College London
Verified email at kcl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review
G Orru, W Pettersson-Yeo, AF Marquand, G Sartori, A Mechelli
Neuroscience & Biobehavioral Reviews 36 (4), 1140-1152, 2012
9952012
Describing the brain in autism in five dimensions—magnetic resonance imaging-assisted diagnosis of autism spectrum disorder using a multiparameter classification approach
C Ecker, A Marquand, J Mourão-Miranda, P Johnston, EM Daly, ...
Journal of Neuroscience 30 (32), 10612-10623, 2010
4322010
Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach
C Ecker, V Rocha-Rego, P Johnston, J Mourao-Miranda, A Marquand, ...
Neuroimage 49 (1), 44-56, 2010
4242010
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11, 319-337, 2013
4032013
Pattern classification of sad facial processing: toward the development of neurobiological markers in depression
CHY Fu, J Mourao-Miranda, SG Costafreda, A Khanna, AF Marquand, ...
Biological psychiatry 63 (7), 656-662, 2008
3732008
The genetic architecture of the human cerebral cortex
KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ...
Science 367 (6484), eaay6690, 2020
3572020
Understanding heterogeneity in clinical cohorts using normative models: beyond case-control studies
AF Marquand, I Rezek, J Buitelaar, CF Beckmann
Biological psychiatry 80 (7), 552-561, 2016
3012016
From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics
T Wolfers, JK Buitelaar, CF Beckmann, B Franke, AF Marquand
Neuroscience & Biobehavioral Reviews 57, 328-349, 2015
2732015
Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes
A Marquand, M Howard, M Brammer, C Chu, S Coen, J Mourão-Miranda
Neuroimage 49 (3), 2178-2189, 2010
2582010
Novel genetic loci associated with hippocampal volume
DP Hibar, HHH Adams, N Jahanshad, G Chauhan, JL Stein, E Hofer, ...
Nature communications 8 (1), 13624, 2017
2572017
Mapping the heterogeneous phenotype of schizophrenia and bipolar disorder using normative models
T Wolfers, NT Doan, T Kaufmann, D Alnæs, T Moberget, I Agartz, ...
JAMA psychiatry 75 (11), 1146-1155, 2018
2352018
Prognostic prediction of therapeutic response in depression using high-field MR imaging
Q Gong, Q Wu, C Scarpazza, S Lui, Z Jia, A Marquand, X Huang, ...
Neuroimage 55 (4), 1497-1503, 2011
2212011
Novel genetic loci underlying human intracranial volume identified through genome-wide association
HHH Adams, DP Hibar, V Chouraki, JL Stein, PA Nyquist, ME Rentería, ...
Nature neuroscience 19 (12), 1569-1582, 2016
2122016
Beyond lumping and splitting: a review of computational approaches for stratifying psychiatric disorders
AF Marquand, T Wolfers, M Mennes, J Buitelaar, CF Beckmann
Biological psychiatry: cognitive neuroscience and neuroimaging 1 (5), 433-447, 2016
2032016
Evaluating the evidence for biotypes of depression: Methodological replication and extension of
R Dinga, L Schmaal, BWJH Penninx, MJ van Tol, DJ Veltman, ...
NeuroImage: Clinical 22, 101796, 2019
1852019
Genetic architecture of subcortical brain structures in 38,851 individuals
CL Satizabal, HHH Adams, DP Hibar, CC White, MJ Knol, JL Stein, ...
Nature genetics 51 (11), 1624-1636, 2019
1632019
Conceptualizing mental disorders as deviations from normative functioning
AF Marquand, SM Kia, M Zabihi, T Wolfers, JK Buitelaar, CF Beckmann
Molecular psychiatry 24 (10), 1415-1424, 2019
1622019
Integrating neurobiological markers of depression
T Hahn, AF Marquand, AC Ehlis, T Dresler, S Kittel-Schneider, TA Jarczok, ...
Archives of general psychiatry 68 (4), 361-368, 2011
1612011
Connectopic mapping with resting-state fMRI
KV Haak, AF Marquand, CF Beckmann
Neuroimage 170, 83-94, 2018
1602018
Patient classification as an outlier detection problem: an application of the one-class support vector machine
J Mourão-Miranda, DR Hardoon, T Hahn, AF Marquand, SCR Williams, ...
Neuroimage 58 (3), 793-804, 2011
1562011
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