Andre F Marquand

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Janaina Mourao-MirandaUniversity College LondonVerified email at cs.ucl.ac.uk
Steve C R WilliamsInstitute of Psychiatry, King's College LondonVerified email at kcl.ac.uk
Christian F. BeckmannRadboud University Medical Centre Nijmegen, Donders Institute for Brain, Cognition and BehaviourVerified email at donders.ru.nl
Michael BrammerProfessor of NeuroimagingVerified email at kcl.ac.uk
Thomas WolfersUniversity of Oslo, Radboud University, University of OxfordVerified email at donders.ru.nl
Mitul MehtaProfessor of Neuroimaging & Psychopharmacology, Institute of Psychiatry, Psychology & NeuroscienceVerified email at kcl.ac.uk
Carlton CHUResearcher/Engineer at Google DeepMindVerified email at google.com
Maria J. RosaMax Planck - UCL / Computer Science UCLVerified email at alumni.ucl.ac.uk
Tim HahnUniversity of MünsterVerified email at wwu.de
Owen O'DalyLecturer in Neuroimaging, King's College London's Institute of PsychiatryVerified email at kcl.ac.uk
Orla M. DoyleData Scientist, IQVIAVerified email at iqvia.com
Barbara FrankeProfessor of Molecular PsychiatryVerified email at radboudumc.nl
John AshburnerProfessor of Imaging Science, Wellcome Centre for Human Neuroimaging, UCL Institute ofVerified email at ucl.ac.uk
Maarten MennesHead of MR Analyses and Quality Manager at SBGneuro; Senior researcher, Donders Institute for BrainVerified email at donders.ru.nl
Jessica SchrouffGoogle ResearchVerified email at ulg.ac.be
Christophe PhillipsGIGA Institute, University of LiègeVerified email at ulg.ac.be
Matt HowardKing's College LondonVerified email at kcl.ac.uk
Jonas RichiardiLausanne University Hospital and University of LausanneVerified email at chuv.ch
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
James H ColeAssociate Professor in Neuroimage Analysis, Centre for Medical Image Computing, Dementia ResearchVerified email at ucl.ac.uk

Andre F Marquand

Associate Professor, Donders Institute / Kings College London

Verified email at kcl.ac.uk - Homepage

Machine learning neuroimaging fMRI Gaussian Processes Pattern recognition


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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	823	2012
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	382	2010
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	374	2010
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	348	2008
PRoNTo: pattern recognition for neuroimaging toolbox J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ... Neuroinformatics 11 (3), 319-337, 2013	312	2013
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	235	2010
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	226	2015
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	202	2011
Novel genetic loci associated with hippocampal volume DP Hibar, HHH Adams, N Jahanshad, G Chauhan, JL Stein, E Hofer, ... Nature communications 8 (1), 1-12, 2017	182	2017
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	182	2016
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	158	2016
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	157	2011
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	147	2016
Neuroanatomy of verbal working memory as a diagnostic biomarker for depression AF Marquand, J Mourão-Miranda, MJ Brammer, AJ Cleare, CHY Fu Neuroreport 19 (15), 1507-1511, 2008	138	2008
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	133	2011
The genetic architecture of the human cerebral cortex KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ... Science 367 (6484), 2020	129	2020
Connectopic mapping with resting-state fMRI KV Haak, AF Marquand, CF Beckmann Neuroimage 170, 83-94, 2018	118	2018
Predicting long-term outcome of Internet-delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning KNT Månsson, A Frick, CJ Boraxbekk, AF Marquand, SCR Williams, ... Translational psychiatry 5 (3), e530-e530, 2015	118	2015
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	117	2018
Pattern classification of response inhibition in ADHD: toward the development of neurobiological markers for ADHD H Hart, K Chantiluke, AI Cubillo, AB Smith, A Simmons, MJ Brammer, ... Human Brain Mapping 35 (7), 3083-3094, 2014	114	2014

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