Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model.

Journal: ArXiv

Publication date: 

Journal: ArXiv

Publication Year: 

Authors & Co-authors:  Goya-Maldonado Roberto R Erwin-Grabner Tracy T Zeng Ling-Li LL Ching Christopher R K CRK Aleman Andre A Amod Alyssa R AR Basgoze Zeynep Z Benedetti Francesco F Besteher Bianca B Brosch Katharina K

Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model.

Journal: ArXiv

Publication date: 

Journal: ArXiv

Publication Year: 

Authors & Co-authors:  Goya-Maldonado Roberto R Erwin-Grabner Tracy T Zeng Ling-Li LL Ching Christopher R K CRK Aleman Andre A Amod Alyssa R AR Basgoze Zeynep Z Benedetti Francesco F Besteher Bianca B Brosch Katharina K

Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group.

Journal: Molecular psychiatry

Publication date: 2021

Journal: Molecular psychiatry

Publication Year: 2021

Authors & Co-authors:  Nunes Abraham A Schnack Hugo G HG Ching Christopher R K CRK Agartz Ingrid I Akudjedu Theophilus N TN Alda Martin M Alnæs Dag D Alonso-Lana Silvia S Bauer Jochen J Baune Bernhard T BT

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group.

Journal: Molecular psychiatry

Publication date: 2022

Journal: Molecular psychiatry

Publication Year: 2022

Authors & Co-authors:  Han Laura K M LKM Dinga Richard R Hahn Tim T Ching Christopher R K CRK Eyler Lisa T LT Aftanas Lyubomir L Aghajani Moji M Aleman André A Baune Bernhard T BT Berger Klaus K