| 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 | 1122 | 2012 |
| The genetic architecture of the human cerebral cortex KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ... Science 367 (6484), eaay6690, 2020 | 611 | 2020 |
| 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 | 471 | 2010 |
| PRoNTo: pattern recognition for neuroimaging toolbox J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ... Neuroinformatics 11, 319-337, 2013 | 468 | 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 Mourao-Miranda, A Marquand, ... Neuroimage 49 (1), 44-56, 2010 | 451 | 2010 |
| 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 | 437 | 2016 |
| 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 | 392 | 2008 |
| 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 | 348 | 2018 |
| 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 | 311 | 2015 |
| 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 | 310 | 2017 |
| 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 | 276 | 2019 |
| 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 | 266 | 2010 |
| 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 | 259 | 2019 |
| 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 | 251 | 2016 |
| 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 | 240 | 2019 |
| 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 | 240 | 2016 |
| 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 | 225 | 2011 |
| Connectopic mapping with resting-state fMRI KV Haak, AF Marquand, CF Beckmann Neuroimage 170, 83-94, 2018 | 220 | 2018 |
| 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 | 196 | 2021 |
| 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 | 188 | 2011 |
Christian F. BeckmannRadboud University Medical Centre Nijmegen, Donders Institute for Brain, Cognition and Behaviour在 donders.ru.nl 的电子邮件经过验证
