Superficial white matter bundle atlas based on hierarchical fiber clustering over probabilistic tractography data.
C. Román, C. Hernández, M. Figueroa, 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, [...]
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, [...]
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
Schilling KG, Rheault F, Petit L, Hansen CB, Nath V, [...]
ABrainVis: an android brain image visualization tool
I. Osorio, M. Guevara, D. Bonometti, D. Carrasco, M. Descoteaux, [...]
FFClust: Fast fiber clustering for large tractography datasets for a detailed study of brain connectivity
A. Vázquez, N. López-López, A. Sánchez, J. Houenou, C. Poupon, [...]
From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas
N. López-López, A. Vázquez, J. Houenou, C. Poupon, J.-F. Mangin, [...]
Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information
A. Vázquez, N. López-López, J. Houenou, C. Poupon, J.F.Mangin, S. [...]