Fully Automated Habenula Segmentation Provides Robust and Reliable Volume Estimation Across Large Magnetic Resonance Imaging Datasets, Suggesting Intriguing Developmental Trajectories in Psychiatric Disease

Published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2020

Recommended citation: Germann, Jürgen, Gouveia, Flavia Venetucci, Martinez, Raquel C R, Zanetti, Marcus Vinicius, de Souza Duran, Fábio Luís, Chaim-Avancini, Tiffany M, Serpa, Mauricio H, Chakravarty, M Mallar, Devenyi, Gabriel A, "Fully Automated Habenula Segmentation Provides Robust and Reliable Volume Estimation Across Large Magnetic Resonance Imaging Datasets, Suggesting Intriguing Developmental Trajectories in Psychiatric Disease." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2020. http://www.sciencedirect.com/science/article/pii/S2451902220300227