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David Popovic

Showing results (1-10 of 29) with videos related to

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Biological Psychiatry|January 18, 2023
The Neurobiological and Epigenetic Links Between Negative Life Events and Behavioral Disturbances in Adolescent YouthDavid Popovic, Peter Falkai
Methods in Molecular Biology (Clifton, N.J.)|July 15, 2022
Challenges of Multiplex Assays for COVID-19 Research: A Machine Learning PerspectivePaul C Guest, David Popovic, Johann Steiner
Fortschritte Der Neurologie-Psychiatrie|December 11, 2020
David Popovic, Kolja Schiltz, Peter Falkai, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 13, 2016
Short and long-lasting behavioral consequences of agonistic encounters between male Drosophila melanogasterSéverine Trannoy, Jill Penn, Kenia Lucey, et al.
Schizophrenia Bulletin|July 14, 2023
Effects of Substance Use and Antisocial Personality on Neuroimaging-Based Machine Learning Prediction of SchizophreniaMatias Taipale, Jari Tiihonen, Juuso Korhonen, et al.
Schizophrenia Bulletin|September 9, 2024
EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning InvestigationElif Sarisik, David Popovic, Daniel Keeser, et al.
European Archives of Psychiatry and Clinical Neuroscience|July 7, 2020
Classical blood biomarkers identify patients with higher risk for relapse 6 months after alcohol withdrawal treatmentFlorian J Raabe, Elias Wagner, Judith Weiser, et al.
Frontiers in Neuroscience|April 16, 2019
Childhood Trauma in Schizophrenia: Current Findings and Research PerspectivesDavid Popovic, Andrea Schmitt, Lalit Kaurani, et al.
Frontiers in Psychiatry|May 4, 2026
The patterns of relapse and abstinence: using machine learning to identify a multidimensional signature of long-term outcome after inpatient alcohol withdrawal treatmentFlorian J Raabe, Sarah Brechtel, Charlotte Lugmair, et al.
Frontiers in Psychiatry|May 8, 2023
Patterns of risk-Using machine learning and structural neuroimaging to identify pedophilic offendersDavid Popovic, Maximilian Wertz, Carolin Geisler, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Biological Psychiatry|January 18, 2023
The Neurobiological and Epigenetic Links Between Negative Life Events and Behavioral Disturbances in Adolescent YouthDavid Popovic, Peter Falkai
Methods in Molecular Biology (Clifton, N.J.)|July 15, 2022
Challenges of Multiplex Assays for COVID-19 Research: A Machine Learning PerspectivePaul C Guest, David Popovic, Johann Steiner
Fortschritte Der Neurologie-Psychiatrie|December 11, 2020
David Popovic, Kolja Schiltz, Peter Falkai, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 13, 2016
Short and long-lasting behavioral consequences of agonistic encounters between male Drosophila melanogasterSéverine Trannoy, Jill Penn, Kenia Lucey, et al.
Schizophrenia Bulletin|July 14, 2023
Effects of Substance Use and Antisocial Personality on Neuroimaging-Based Machine Learning Prediction of SchizophreniaMatias Taipale, Jari Tiihonen, Juuso Korhonen, et al.
Schizophrenia Bulletin|September 9, 2024
EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning InvestigationElif Sarisik, David Popovic, Daniel Keeser, et al.
European Archives of Psychiatry and Clinical Neuroscience|July 7, 2020
Classical blood biomarkers identify patients with higher risk for relapse 6 months after alcohol withdrawal treatmentFlorian J Raabe, Elias Wagner, Judith Weiser, et al.
Frontiers in Neuroscience|April 16, 2019
Childhood Trauma in Schizophrenia: Current Findings and Research PerspectivesDavid Popovic, Andrea Schmitt, Lalit Kaurani, et al.
Frontiers in Psychiatry|May 4, 2026
The patterns of relapse and abstinence: using machine learning to identify a multidimensional signature of long-term outcome after inpatient alcohol withdrawal treatmentFlorian J Raabe, Sarah Brechtel, Charlotte Lugmair, et al.
Frontiers in Psychiatry|May 8, 2023
Patterns of risk-Using machine learning and structural neuroimaging to identify pedophilic offendersDavid Popovic, Maximilian Wertz, Carolin Geisler, et al.
Pageof 3