Machine learning approaches for clinical psychology and psychiatry DB Dwyer, P Falkai, N Koutsouleris Annual review of clinical psychology 14 (1), 91-118, 2018 | 794 | 2018 |
Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition N Koutsouleris, EM Meisenzahl, C Davatzikos, R Bottlender, T Frodl, ... Archives of general psychiatry 66 (7), 700-712, 2009 | 498 | 2009 |
BrainAGE in mild cognitive impaired patients: predicting the conversion to Alzheimer’s disease C Gaser, K Franke, S Klöppel, N Koutsouleris, H Sauer, ... PloS one 8 (6), e67346, 2013 | 484 | 2013 |
Depression-related variation in brain morphology over 3 years: effects of stress? TS Frodl, N Koutsouleris, R Bottlender, C Born, M Jäger, I Scupin, ... Archives of general psychiatry 65 (10), 1156-1165, 2008 | 478 | 2008 |
Accelerated brain aging in schizophrenia and beyond: a neuroanatomical marker of psychiatric disorders N Koutsouleris, C Davatzikos, S Borgwardt, C Gaser, R Bottlender, T Frodl, ... Schizophrenia bulletin 40 (5), 1140-1153, 2014 | 444 | 2014 |
Prevention of psychosis: advances in detection, prognosis, and intervention P Fusar-Poli, GS De Pablo, CU Correll, A Meyer-Lindenberg, MJ Millan, ... JAMA psychiatry 77 (7), 755-765, 2020 | 401 | 2020 |
Interaction of childhood stress with hippocampus and prefrontal cortex volume reduction in major depression T Frodl, E Reinhold, N Koutsouleris, M Reiser, EM Meisenzahl Journal of psychiatric research 44 (13), 799-807, 2010 | 394 | 2010 |
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan R Pomponio, G Erus, M Habes, J Doshi, D Srinivasan, E Mamourian, ... NeuroImage 208, 116450, 2020 | 344 | 2020 |
Prediction models of functional outcomes for individuals in the clinical high-risk state for psychosis or with recent-onset depression: a multimodal, multisite machine learning … N Koutsouleris, L Kambeitz-Ilankovic, S Ruhrmann, M Rosen, A Ruef, ... JAMA psychiatry 75 (11), 1156-1172, 2018 | 344 | 2018 |
Diagnostic neuroimaging across diseases S Klöppel, A Abdulkadir, CR Jack Jr, N Koutsouleris, J Mourão-Miranda, ... Neuroimage 61 (2), 457-463, 2012 | 329 | 2012 |
Genetics, cognition, and neurobiology of schizotypal personality: a review of the overlap with schizophrenia U Ettinger, I Meyhöfer, M Steffens, M Wagner, N Koutsouleris Frontiers in psychiatry 5, 18, 2014 | 322 | 2014 |
Neuroanatomical abnormalities that predate the onset of psychosis: a multicenter study A Mechelli, A Riecher-Rössler, EM Meisenzahl, S Tognin, SJ Wood, ... Archives of general psychiatry 68 (5), 489-495, 2011 | 287 | 2011 |
Structural MRI correlates for vulnerability and resilience to major depressive disorder F Amico, E Meisenzahl, N Koutsouleris, M Reiser, HJ Möller, T Frodl Journal of Psychiatry and Neuroscience 36 (1), 15-22, 2011 | 272 | 2011 |
Childhood stress, serotonin transporter gene and brain structures in major depression T Frodl, E Reinhold, N Koutsouleris, G Donohoe, B Bondy, M Reiser, ... Neuropsychopharmacology 35 (6), 1383-1390, 2010 | 247 | 2010 |
Detecting neuroimaging biomarkers for schizophrenia: a meta-analysis of multivariate pattern recognition studies J Kambeitz, L Kambeitz-Ilankovic, S Leucht, S Wood, C Davatzikos, ... Neuropsychopharmacology 40 (7), 1742-1751, 2015 | 242 | 2015 |
MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide VM Bashyam, G Erus, J Doshi, M Habes, IM Nasrallah, M Truelove-Hill, ... Brain 143 (7), 2312-2324, 2020 | 234 | 2020 |
Structural correlates of psychopathological symptom dimensions in schizophrenia: a voxel-based morphometric study N Koutsouleris, C Gaser, M Jäger, R Bottlender, T Frodl, S Holzinger, ... Neuroimage 39 (4), 1600-1612, 2008 | 222 | 2008 |
Childhood trauma in schizophrenia: current findings and research perspectives D Popovic, A Schmitt, L Kaurani, F Senner, S Papiol, B Malchow, ... Frontiers in neuroscience 13, 274, 2019 | 213 | 2019 |
Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning GB Chand, DB Dwyer, G Erus, A Sotiras, E Varol, D Srinivasan, J Doshi, ... Brain 143 (3), 1027-1038, 2020 | 209 | 2020 |
Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach N Koutsouleris, RS Kahn, AM Chekroud, S Leucht, P Falkai, T Wobrock, ... The Lancet Psychiatry 3 (10), 935-946, 2016 | 201 | 2016 |