Nikolaos Koutsouleris
Nikolaos Koutsouleris
Ludwig-Maximilians-University, King's College London, Max Planck Institute of Psychiatry
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Machine learning approaches for clinical psychology and psychiatry
DB Dwyer, P Falkai, N Koutsouleris
Annual review of clinical psychology 14 (1), 91-118, 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
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
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
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
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
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
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
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
Diagnostic neuroimaging across diseases
S Klöppel, A Abdulkadir, CR Jack Jr, N Koutsouleris, J Mourão-Miranda, ...
Neuroimage 61 (2), 457-463, 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
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
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
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
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
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
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
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
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
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
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