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M Han

Showing results (1081-1090 of 1,089) with videos related to

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Arxiv|February 20, 2025
Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning ModelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.
Molecular Psychiatry|October 3, 2025
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning modelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.
Journal of Affective Disorders|January 26, 2026
Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working GroupHui Xin Ng, Christoph Abé, Martin Alda, et al.
Biorxiv : the Preprint Server for Biology|April 1, 2025
Dissecting heterogeneity in cortical thickness abnormalities in major depressive disorder: a large-scale ENIGMA MDD normative modelling studyJ M M Bayer, L S van Velzen, E Pozzi, et al.
Translational Psychiatry|June 23, 2026
Decomposing neuroanatomical heterogeneity in depression: insights from an ENIGMA major depressive disorder working group study in 5146 individualsLukas Sempach, Sarah Ulrich, Stéphanie E E C Bauduin, et al.
Molecular Psychiatry|May 20, 2020
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working groupLaura K M Han, Richard Dinga, Tim Hahn, et al.
Biological Psychiatry|August 14, 2025
Shared and distinct alterations in brain structure of youth with internalizing or externalizing disorders: Findings from the ENIGMA Antisocial Behavior, ADHD, MDD, and Anxiety Working GroupsSophie Townend, Marlene Staginnus, Yidian Gao, et al.
Translational Psychiatry|March 22, 2020
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countriesPaul M Thompson, Neda Jahanshad, Christopher R K Ching, et al.
Nature Neuroscience|April 6, 2022
Genetic variants associated with longitudinal changes in brain structure across the lifespanRachel M Brouwer, Marieke Klein, Katrina L Grasby, et al.
Pageof 109

Showing results (1081-1090 of 1,089) with videos related to

Sort By:
Pageof 109
You have reached the last page of results.This site can display upto 1,089 results.
Arxiv|February 20, 2025
Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning ModelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.
Molecular Psychiatry|October 3, 2025
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning modelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.
Journal of Affective Disorders|January 26, 2026
Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working GroupHui Xin Ng, Christoph Abé, Martin Alda, et al.
Biorxiv : the Preprint Server for Biology|April 1, 2025
Dissecting heterogeneity in cortical thickness abnormalities in major depressive disorder: a large-scale ENIGMA MDD normative modelling studyJ M M Bayer, L S van Velzen, E Pozzi, et al.
Translational Psychiatry|June 23, 2026
Decomposing neuroanatomical heterogeneity in depression: insights from an ENIGMA major depressive disorder working group study in 5146 individualsLukas Sempach, Sarah Ulrich, Stéphanie E E C Bauduin, et al.
Molecular Psychiatry|May 20, 2020
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working groupLaura K M Han, Richard Dinga, Tim Hahn, et al.
Biological Psychiatry|August 14, 2025
Shared and distinct alterations in brain structure of youth with internalizing or externalizing disorders: Findings from the ENIGMA Antisocial Behavior, ADHD, MDD, and Anxiety Working GroupsSophie Townend, Marlene Staginnus, Yidian Gao, et al.
Translational Psychiatry|March 22, 2020
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countriesPaul M Thompson, Neda Jahanshad, Christopher R K Ching, et al.
Nature Neuroscience|April 6, 2022
Genetic variants associated with longitudinal changes in brain structure across the lifespanRachel M Brouwer, Marieke Klein, Katrina L Grasby, et al.
Pageof 109