Publications of David Popovic
All genres
Journal Article (15)
1.
Journal Article
151 (3), pp. 231 - 244 (2025)
Who is at risk for weight gain after weight-gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: A machine learning approach. ACTA PSYCHIATRICA SCANDINAVICA 2.
Journal Article
96 (10), pp. 792 - 803 (2024)
Signature of Altered Retinal Microstructures and Electrophysiology in Schizophrenia Spectrum Disorders Is Associated With Disease Severity and Polygenic Risk. BIOLOGICAL PSYCHIATRY 3.
Journal Article
EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation. SCHIZOPHRENIA BULLETIN (2024)
4.
Journal Article
14-2023, 1001085 (2023)
Patterns of risk—Using machine learning and structural neuroimaging to identify pedophilic offenders. Frontiers in Psychiatry 5.
Journal Article
8 (12), pp. 1207 - 1217 (2023)
Structural and Functional Brain Patterns Predict Formal Thought Disorder's Severity and Its Persistence in Recent-Onset Psychosis: Results From the PRONIA Study. BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING 6.
Journal Article
Deconstructing depression by machine learning: the POKAL-PSY study. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE (2023)
7.
Journal Article
Effects of Substance Use and Antisocial Personality on Neuroimaging-Based Machine Learning Prediction of Schizophrenia. SCHIZOPHRENIA BULLETIN (2023)
8.
Journal Article
Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages. JAMA PSYCHIATRY (2022)
9.
Journal Article
The clinical relevance of formal thought disorder in the early stages of psychosis: results from the PRONIA study. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE (2021)
10.
Journal Article
78 (2), pp. 195 - 209 (2021)
Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression. JAMA PSYCHIATRY 11.
Journal Article
78 (2), pp. 195 - 209 (2021)
Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression. JAMA PSYCHIATRY 12.
Journal Article
271 (5), pp. 891 - 902 (2021)
Classical blood biomarkers identify patients with higher risk for relapse 6 months after alcohol withdrawal treatment. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE 13.
Journal Article
Classical blood biomarkers identify patients with higher risk for relapse 6 months after alcohol withdrawal treatment. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE (2020)
14.
Journal Article
88 (11), pp. 829 - 842 (2020)
Traces of Trauma: A Multivariate Pattern Analysis of Childhood Trauma, Brain Structure, and Clinical Phenotypes. BIOLOGICAL PSYCHIATRY 15.
Journal Article
88 (12), pp. 778 - 785 (2020)
Precision Psychiatry and the Contribution of Brain Imaging and Other Biomarkers. FORTSCHRITTE DER NEUROLOGIE PSYCHIATRIE Meeting Abstract (3)
16.
Meeting Abstract
67, pp. S45 - S47. (2024)
Neuroinflammation in Recent Onset Mental Health Disorders - Developing Multi-level Signatures of Earlystage Depression and Psychosis in Young Adults. In EUROPEAN PSYCHIATRY, 17.
Meeting Abstract
67, pp. S13 - S14. (2024)
A Case of Electroencephalography and Machine Learning in Early Diagnosis of Psychotic and Affective Disorders. In EUROPEAN PSYCHIATRY, 18.
Meeting Abstract
67, pp. S272 - S273. (2024)
Multivariate associations between psychiatric drug intake and grey matter volume changes in individuals at early stages of psychosis and depression. In EUROPEAN PSYCHIATRY, Thesis - PhD (1)
19.
Thesis - PhD
Investigation of childhood trauma as a transdiagnostic risk factor using multimodal machine learning. Dissertation, 142 pp., Ludwig-Maximilians-Universität München, München (2023)
Editorial (1)
20.
Editorial
93 (4), pp. 298 - 299 (2023)
The Neurobiological and Epigenetic Links Between Negative Life Events and Behavioral Disturbances in Adolescent Youth. BIOLOGICAL PSYCHIATRY