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Competitive segmentation of the hippocampus and the amygdala from MRI data: validation on young healthy controls and Alzheimer's disease patients.

, , , , , , , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61440K. SPIE, (2006)

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Competitive segmentation of the hippocampus and the amygdala from MRI data: validation on young healthy controls and Alzheimer's disease patients., , , , , , , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61440K. SPIE, (2006)Multi-object Deformable Templates Dedicated to the Segmentation of Brain Deep Structures., , , , , and . MICCAI, volume 1496 of Lecture Notes in Computer Science, page 1134-1143. Springer, (1998)Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer's disease., , , , , , , , and . NeuroImage, 34 (3): 996-1019 (2007)A multitrial analysis for revealing significant corticocortical networks in magnetoencephalography and electroencephalography., , , and . NeuroImage, 20 (1): 186-201 (2003)Combined Laplacian-equivolumic model for studying cortical lamination with ultra high field MRI (7 T)., , , , , and . ISBI, page 580-583. IEEE, (2015)Intracranial Recordings and Computational Modeling of Music Reveal the Time Course of Prediction Error Signaling in Frontal and Temporal Cortices., , , , , , and . J. Cogn. Neurosci., 31 (6): 855-873 (2019)Long-term deep intracerebral microelectrode recordings in patients with drug-resistant epilepsy: Proposed guidelines based on 10-year experience., , , , , , , , , and 4 other author(s). NeuroImage, (2022)Segmentation of the amygdalo-hippocampal complex by competitive region growing MRI analysis., , , , and . ISBI, page 261-264. IEEE, (2002)