Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures
V. Belov, Tracy Erwin-Grabner, Moji Aghajani, André Alemán, Alyssa R. Amod, Zeynep Başgöze, Francesco Benedetti, Bianca Besteher, Robin Bülow, Christopher R. K. Ching, Colm G. Connolly, Kathryn R. Cullen, Christopher G. Davey, Danai Dima, Annemiek Dols, Jennifer W. Evans, Cynthia H.Y. Fu, Ali Saffet Gönül, Ian H. Gotlib, Hans J. Grabe, Nynke A. Groenewold, J. Paul Hamilton, Ben J. Harrison, Tiffany C. Ho, Benson Mwangi, Natalia Jaworska, Neda Jahanshad, Bonnie Klimes‐Dougan, Sheri‐Michelle Koopowitz, T. Lancaster, Meng Li, David E.J. Linden, Frank P. MacMaster, David M. A. Mehler, Elisa Melloni, Bryon A. Mueller, Amar Ojha, Mardien L. Oudega, Brenda W.J.H. Penninx, Sara Poletti, Edith Pomarol‐Clotet, Marı́a J. Portella, Elena Pozzi, Liesbeth Reneman, Matthew D. Sacchet, Philipp G. Sämann, Anouk Schrantee, Kang Sim, Jair C. Soares, Dan Joseph Stein, Sophia I. Thomopoulos, Aslihan Uyar-Demir, Nic J.A. van der Wee, Steven J.A. van der Werff, Henry Völzke, Sarah Whittle, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos A. Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya‐Maldonado (2024). Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures. , 14(1), DOI: https://doi.org/10.1038/s41598-023-47934-8.
