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Nikolaos Koutsouleris

Ludwig Maximilian University of Munich (LMU) - Section of Neurodiagnostic Applications

Leopoldstr. 13

Munich, 80802

Germany

SCHOLARLY PAPERS

3

DOWNLOADS

122

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Detecting Common Mental Illnesses in the Global South Using Accessible and Interpretable Machine Learning: A Usecase Study in ELSA-Brasil Cohort

Number of pages: 34 Posted: 11 Jul 2022
Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Section of Neurodiagnostic Applications, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, University of São Paulo (USP) - Faculty of Medicine, University of São Paulo (USP) - Faculty of Medicine, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich (LMU) - Section of Neurodiagnostic Applications and University of São Paulo (USP) - Department & Institute of Psychiatry
Downloads 80 (803,225)

Abstract:

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common mental illness, common mental disorder, depression, generalised anxiety disorder, social determinants of health, machine learning, cohort study, individualised prediction, developing country, low-middle/income country

2.

Deep learning disentangles neuroanatomical heterogeneity in psychotic disorders, psychosis onset and unaffected siblings

Number of pages: 21 Posted: 17 Nov 2025
University of Pennsylvania, University of Pennsylvania, University of Pennsylvania - Department of Radiology, University of Pennsylvania, affiliation not provided to SSRN, University of Melbourne, affiliation not provided to SSRN, Columbia University, Utrecht University - Brain Center Rudolf Magnus, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Melbourne, Tianjin Medical University - Department of Psychiatry, University of Pennsylvania - Penn Statistics in Imaging and Visualization Center (PennSIVE), University of Pennsylvania, University of Pennsylvania, affiliation not provided to SSRN, affiliation not provided to SSRN, Vanderbilt University, University of Pennsylvania - Department of Psychiatry, University of Melbourne, University of Pittsburgh - Department of Psychiatry, University of Pittsburgh - Department of Psychiatry, University of Pennsylvania - Department of Psychiatry, King’s College London - Department of Psychosis Studies, King’s College London - Social, Genetic and Developmental Psychiatry Centre, King’s College London - Institute of Psychiatry, Psychology and Neuroscience, affiliation not provided to SSRN, University of Melbourne - Royal Melbourne Hospital, University of Melbourne, University of Seville - Hospital Universitario Virgen del Rocío, University of São Paulo (USP) - Institute of Psychiatry, University of Pennsylvania - Perelman School of Medicine, King’s College London - Institute of Psychiatry, Psychology and Neuroscience, Ludwig Maximilian University of Munich (LMU) - Section of Neurodiagnostic Applications and University of Pennsylvania - Department of Radiology
Downloads 42 (1,157,785)

Abstract:

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Deep learning, clustering, schizophrenia, subtypes, structural MRI

3.

Machine Learning Approaches for Clinical Psychology and Psychiatry

Annual Review of Clinical Psychology, Vol. 14, pp. 91-118, 2018
Posted: 15 Jun 2018
Dominic B. Dwyer, Peter Falkai and Nikolaos Koutsouleris
Ludwig Maximilian University of Munich (LMU) - Section of Neurodiagnostic Applications, Ludwig Maximilian University of Munich (LMU) - Section of Neurodiagnostic Applications and Ludwig Maximilian University of Munich (LMU) - Section of Neurodiagnostic Applications

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