Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Lukas Fisch

Showing results (21-30 of 27) with videos related to

Pageof 3
Sort By:
You have reached the last page of results.This site can display upto 27 results.
JAMA Psychiatry|January 10, 2024
A Systematic Evaluation of Machine Learning-Based Biomarkers for Major Depressive DisorderNils R Winter, Julian Blanke, Ramona Leenings, et al.
Biological Psychiatry|November 23, 2021
Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working GroupChristoph Abé, Christopher R K Ching, Benny Liberg, et al.
Human Brain Mapping|July 1, 2024
Brain-age prediction: Systematic evaluation of site effects, and sample age range and sizeYuetong Yu, Hao-Qi Cui, Shalaila S Haas, et al.
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.
Biological Psychiatry|March 6, 2026
Childhood Maltreatment and Deviations from Normative Brain Structure: A Mega-Analysis of 3,711 Individuals from the ENIGMA MDD and ENIGMA PTSD Working GroupsHaley R Wang, Zhen-Qi Liu, Elena Pozzi, et al.
Pageof 3

Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
JAMA Psychiatry|January 10, 2024
A Systematic Evaluation of Machine Learning-Based Biomarkers for Major Depressive DisorderNils R Winter, Julian Blanke, Ramona Leenings, et al.
Biological Psychiatry|November 23, 2021
Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working GroupChristoph Abé, Christopher R K Ching, Benny Liberg, et al.
Human Brain Mapping|July 1, 2024
Brain-age prediction: Systematic evaluation of site effects, and sample age range and sizeYuetong Yu, Hao-Qi Cui, Shalaila S Haas, et al.
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.
Biological Psychiatry|March 6, 2026
Childhood Maltreatment and Deviations from Normative Brain Structure: A Mega-Analysis of 3,711 Individuals from the ENIGMA MDD and ENIGMA PTSD Working GroupsHaley R Wang, Zhen-Qi Liu, Elena Pozzi, et al.
Pageof 3