Követés
Andre F Marquand
Andre F Marquand
Professor of Computational Psychiatry, Donders Institute / Kings College London
E-mail megerősítve itt: kcl.ac.uk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
11642012
The genetic architecture of the human cerebral cortex
KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ...
Science 367 (6484), eaay6690, 2020
6882020
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11, 319-337, 2013
4892013
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
4882010
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
4862016
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
4652010
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
4002008
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
3862018
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
3222017
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
3222015
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
3142019
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
2842019
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
2702010
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
2602019
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
2582016
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
2562016
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
2332011
Connectopic mapping with resting-state fMRI
KV Haak, AF Marquand, CF Beckmann
Neuroimage 170, 83-94, 2018
2312018
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
LKM Han, R Dinga, T Hahn, CRK Ching, LT Eyler, L Aftanas, M Aghajani, ...
Molecular psychiatry 26 (9), 5124-5139, 2021
2262021
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
1942011
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