Superficial White Matter Shape Characterization Using Hierarchical Clustering and a Multi-Subject Bundle Atlas.
C. Mendoza, C. Román, J. Molina, C. Poupon, J.-F. Mangin, [...]
Fiber Bundles Simulator Using Exponential Curves to Validate.
E. Poo, C. Kublik, J. Houenou, C. Poupon, J.-F. Mangin, [...]
Group-Wise Cortical Parcellation Based on Structural Connectivity and Hierarchical Clustering.
M. Molina, C. Mendoza, C. Román, J. Houenou, C. Poupon, [...]
Brain volumetric correlates of remotely versus in-person administered symbol digit modalities test in multiple sclerosis.
K. Buyukturkoglu, JD. Dworkin, V. Leiva, F. Provenzano, P. Guevara, [...]
Disentangling the variability of the superficial white matter organization using regional-tractogram-based population stratification
M. Guevara, ZY. Sun, P. Guevara, D. Rivire, A. Grigis, [...]
Group-Wise Cortical Surface Parcellation Based on Inter-Subject Fiber Clustering.
C. Vergara, F. Silva, I. Huerta, N. López, A. Vázquez, [...]
Enhanced Automatic Segmentation for Superficial White Matter Fiber Bundles for Probabilistic Tractography Datasets.
C. Mendoza, C. Román, A. Vázquez, C. Poupon, JF. Mangin, [...]
Group-Wise Cortical Surface Parcellation Based on Inter-Subject Fiber Clustering
C. Vergara, F. Silva, I. Huerta, N. López, A. Vázquez, [...]
Machine learning to investigate superficial white matter integrity in early multiple sclerosis
K. Buyukturkoglu, C. Vergara, V. Fuentealba, C. Tozlu, J.B. Dahan, [...]
Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism
I. Goicovich, P. Olivares, C. Román, A. Vázquez, C. Pouponl, [...]