Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures
V. Belov, Tracy Erwin-Grabner, Ali Saffet Gönül, Alyssa R. Amod, Amar Ojha, André Alemán, Annemiek Dols, Anouk Scharntee, Aslihan Uyar-Demir, Ben J. Harrison, Benson M. Irungu, Bianca Besteher, Bonnie Klimes‐Dougan, Brenda W.J.H. Penninx, Bryon A. Mueller, Carlos A. Zarate, Christopher G. Davey, Christopher R. K. Ching, Colm G. Connolly, Cynthia H.Y. Fu, Dan Joseph Stein, Danai Dima, David E.J. Linden, David M. A. Mehler, Edith Pomarol‐Clotet, Elena Pozzi, Elisa Melloni, Francesco Benedetti, Frank P. MacMaster, Hans J. Grabe, Henry Völzke, Ian H. Gotlib, Jair C. Soares, Jennifer W. Evans, Kang Sim, Katharina Wittfeld, Kathryn R. Cullen, Liesbeth Reneman, Mardien L. Oudega, Margaret J. Wright, Marı́a J. Portella, Matthew D. Sacchet, Meng Li, Moji Aghajani, Mon-Ju Wu, Natalia Jaworska, Neda Jahanshad, Nic J.A. van der Wee, Nynke A. Groenewold, J. Paul Hamilton, Philipp G. Saemann, Robin Bülow, Sara Poletti, Sarah Whittle, Sophia I. Thomopoulos, Steven J. A. van, der Werff, Sheri‐Michelle Koopowitz, T. Lancaster, Tiffany C. Ho, Tony T. Yang, Zeynep Başgöze, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya‐Maldonado (2022). Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures. , DOI: https://doi.org/10.48550/arxiv.2206.08122.
