Publications of David Popovic

Popovic, D.; Wertz, M.; Geisler, C.; Kaufmann, J.; Lähteenvuo, M.; Lieslehto, J.; Witzel, J.; Bogerts, B.; Walter, M.; Falkai, P. et al.; Koutsouleris, N.; Schiltz, K.: Patterns of risk—Using machine learning and structural neuroimaging to identify pedophilic offenders. Frontiers in Psychiatry 14-2023, 1001085 (2023)

Buciuman, M.-O.; Öztürk, Ö. F.; Popovic, D.; Enrico, P.; Ruef, A.; Bieler, N.; Sarisik, E.; Weiske, J.; Sen Dong, M.; Dwyer, D. B. et al.; Kambeitz-Ilankovic, L.; Haas, S. S.; Stainton, A.; Ruhrmann, S.; Chisholm, K.; Kambeitz, J.; Riecher-Roessler, A.; Upthegrove, R.; Schultze-Lutter, F.; Salokangas, R. K. R.; Hietala, J.; Pantelis, C.; Lencer, R.; Meisenzahl, E.; Wood, S. J.; Brambilla, P.; Borgwardt, S.; Falkai, P.; Antonucci, L. A.; Bertolino, A.; Liddle, P.; Koutsouleris, N.: 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 8 (12), pp. 1207 - 1217 (2023)

Eder, J.; Pfeiffer, L.; Wichert, S. P.; Keeser, B.; Simon, M. S.; Popovic, D.; Glocker, C.; Brunoni, A. R.; Schneider, A.; Gensichen, J. et al.; Schmitt, A.; Musil, R.; Falkai, P.: Deconstructing depression by machine learning: the POKAL-PSY study. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE (2023)

Taipale, M.; Tiihonen, J.; Korhonen, J.; Popovic, D.; Vaurio, O.; Lahteenvuo, M.; Lieslehto, J.: Effects of Substance Use and Antisocial Personality on Neuroimaging-Based Machine Learning Prediction of Schizophrenia. SCHIZOPHRENIA BULLETIN (2023)

Dwyer, D. B.; Buciuman, M.-O.; Ruef, A.; Kambeitz, J.; Sen Dong, M.; Stinson, C.; Kambeitz-Ilankovic, L.; Degenhardt, F.; Sanfelici, R.; Antonucci, L. A. et al.; Lalousis, P. A.; Wenzel, J.; Urquijo-Castro, M. F.; Popovic, D.; Oeztuerk, O. F.; Haas, S. S.; Weiske, J.; Hauke, D.; Neufang, S.; Schmidt-Kraepelin, C.; Ruhrmann, S.; Penzel, N.; Lichtenstein, T.; Rosen, M.; Chisholm, K.; Riecher-Roessler, A.; Egloff, L.; Schmidt, A.; Andreou, C.; Hietala, J.; Schirmer, T.; Romer, G.; Michel, C.; Rossler, W.; Maj, C.; Borisov, O.; Krawitz, P. M.; Falkai, P.; Pantelis, C.; Lencer, R.; Bertolino, A.; Borgwardt, S.; Noethen, M.; Brambilla, P.; Schultze-Lutter, F.; Meisenzahl, E.; Wood, S. J.; Davatzikos, C.; Upthegrove, R.; Salokangas, R. K. R.; Koutsouleris, N.: Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages. JAMA PSYCHIATRY (2022)

Öztürk, Ö. F.; Pigoni, A.; Wenzel, J.; Haas, S. S.; Popovic, D.; Ruef, A.; Dwyer, D. B.; Kambeitz-Ilankovic, L.; Ruhrmann, S.; Chisholm, K. et al.; Lalousis, P.; Griffiths, S. L.; Lichtenstein, T.; Rosen, M.; Kambeitz, J.; Schultze-Lutter, F.; Liddle, P.; Upthegrove, R.; Salokangas, R. K. R.; Pantelis, C.; Meisenzahl, E.; Wood, S. J.; Brambilla, P.; Borgwardt, S.; Falkai, P.; Antonucci, L. A.; Koutsouleris, N.: 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)

Koutsouleris, N.; Dwyer, D. B.; Degenhardt, F.; Maj, C.; Urquijo-Castro, M. F.; Sanfelici, R.; Popovic, D.; Oeztuerk, O.; Haas, S. S.; Weiske, J. et al.; Ruef, A.; Kambeitz-Ilankovic, L.; Antonucci, L. A.; Neufang, S.; Schmidt-Kraepelin, C.; Ruhrmann, S.; Penzel, N.; Kambeitz, J.; Haidl, T. K.; Rosen, M.; Chisholm, K.; Riecher-Rossler, A.; Egloff, L.; Schmidt, A.; Andreou, C.; Hietala, J.; Schirmer, T.; Romer, G.; Walger, P.; Franscini, M.; Traber-Walker, N.; Schimmelmann, B. G.; Fluckiger, R.; Michel, C.; Rossler, W.; Borisov, O.; Krawitz, P. M.; Heekeren, K.; Buechler, R.; Pantelis, C.; Falkai, P.; Salokangas, R. K. R.; Lencer, R.; Bertolino, A.; Borgwardt, S.; Noethen, M.; Brambilla, P.; Wood, S. J.; Upthegrove, R.; Schultze-Lutter, F.; Theodoridou, A.; Meisenzahl, E.: Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression. JAMA PSYCHIATRY 78 (2), pp. 195 - 209 (2021)

Koutsouleris, N.; Dwyer, D. B.; Degenhardt, F.; Maj, C.; Urquijo-Castro, M. F.; Sanfelici, R.; Popovic, D.; Oeztuerk, O.; Haas, S. S.; Weiske, J. et al.; Ruef, A.; Kambeitz-Ilankovic, L.; Antonucci, L. A.; Neufang, S.; Schmidt-Kraepelin, C.; Ruhrmann, S.; Penzel, N.; Kambeitz, J.; Haidl, T. K.; Rosen, M.; Chisholm, K.; Riecher-Rossler, A.; Egloff, L.; Schmidt, A.; Andreou, C.; Hietala, J.; Schirmer, T.; Romer, G.; Walger, P.; Franscini, M.; Traber-Walker, N.; Schimmelmann, B. G.; Fluckiger, R.; Michel, C.; Rossler, W.; Borisov, O.; Krawitz, P. M.; Heekeren, K.; Buechler, R.; Pantelis, C.; Falkai, P.; Salokangas, R. K. R.; Lencer, R.; Bertolino, A.; Borgwardt, S.; Noethen, M.; Brambilla, P.; Wood, S. J.; Upthegrove, R.; Schultze-Lutter, F.; Theodoridou, A.; Meisenzahl, E.: Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression. JAMA PSYCHIATRY 78 (2), pp. 195 - 209 (2021)

Raabe, F. J.; Wagner, E.; Weiser, J.; Brechtel, S.; Popovic, D.; Adorjan, K.; Pogarell, O.; Hoch, E.; Koller, G.: Classical blood biomarkers identify patients with higher risk for relapse 6 months after alcohol withdrawal treatment. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE 271 (5), pp. 891 - 902 (2021)

Raabe, F. J.; Wagner, E.; Weiser, J.; Brechtel, S.; Popovic, D.; Adorjan, K.; Pogarell, O.; Hoch, E.; Koller, G.: Classical blood biomarkers identify patients with higher risk for relapse 6 months after alcohol withdrawal treatment. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE (2020)

Popovic, D.; Ruef, A.; Dwyer, D. B.; Antonucci, L. A.; Eder, J.; Sanfelici, R.; Kambeitz-Ilankovic, L.; Oeztuerk, O. F.; Dong, M. S.; Paul, R, R. et al.; Paolini, M.; Hedderich, D.; Haidl, T.; Kambeitz, J.; Ruhrmann, S.; Chisholm, K.; Schultze-Lutter, F.; Falkai, P.; Pergola, G.; Blasi, G.; Bertolino, A.; Lencer, R.; Dannlowski, U.; Upthegrove, R.; Salokangas, R. K. R.; Pantelis, C.; Meisenzahl, E.; Wood, S. J.; Brambilla, P.; Borgwardt, S.; Koutsouleris, N.: Traces of Trauma: A Multivariate Pattern Analysis of Childhood Trauma, Brain Structure, and Clinical Phenotypes. BIOLOGICAL PSYCHIATRY 88 (11), pp. 829 - 842 (2020)

Popovic, D.; Schiltz, K.; Falkai, P.; Koutsouleris, N.: Precision Psychiatry and the Contribution of Brain Imaging and Other Biomarkers. FORTSCHRITTE DER NEUROLOGIE PSYCHIATRIE 88 (12), pp. 778 - 785 (2020)

Popovic, D.: Investigation of childhood trauma as a transdiagnostic risk factor using multimodal machine learning. Dissertation, 142 pp., Ludwig-Maximilians-Universität München, München (2023)

Popovic, D.: Investigation of childhood trauma as a transdiagnostic risk factor using multimodal machine learning. Dissertation, Ludwig-Maximilians-Universität München (2023)

Popovic, D.; Falkai, P.: The Neurobiological and Epigenetic Links Between Negative Life Events and Behavioral Disturbances in Adolescent Youth. BIOLOGICAL PSYCHIATRY 93 (4), pp. 298 - 299 (2023)