Fully Automated Habenula Segmentation Provides Robust and Reliable Volume Estimation Across Large Magnetic Resonance Imaging Datasets, Suggesting Intriguing Developmental Trajectories in Psychiatric Disease
Titel:
Fully Automated Habenula Segmentation Provides Robust and Reliable Volume Estimation Across Large Magnetic Resonance Imaging Datasets, Suggesting Intriguing Developmental Trajectories in Psychiatric Disease
Auteur:
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.
Verschenen in:
Biological psychiatry. Cognitive neuroscience and neuroimaging