Manifold-aware synthesis of high-resolution diffusion from structural imaging.

Anctil-Robitaille, Benoit; Théberge, Antoine; Jodoin, Pierre-Marc; Descoteaux, Maxime; Desrosiers, Christian; Lombaert, Hervé

Anctil-Robitaille, Benoit; Théberge, Antoine; Jodoin, Pierre-Marc; Descoteaux, Maxime; Desrosiers, Christian; Lombaert, Hervé.

Afiliación

Anctil-Robitaille B; The Shape Lab, Department of Computer and Software Engineering, ETS Montreal, Montreal, QC, Canada.
Théberge A; Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, Sherbrooke University, Sherbrooke, QC, Canada.
Jodoin PM; Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, Sherbrooke University, Sherbrooke, QC, Canada.
Descoteaux M; Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, Sherbrooke University, Sherbrooke, QC, Canada.
Desrosiers C; The Shape Lab, Department of Computer and Software Engineering, ETS Montreal, Montreal, QC, Canada.
Lombaert H; The Shape Lab, Department of Computer and Software Engineering, ETS Montreal, Montreal, QC, Canada.

Front Neuroimaging ; 1: 930496, 2022.

Article en En | MEDLINE | ID: mdl-37555146

Palabras clave

3D IRM; Riemannian geometry; brain imaging; diffusion synthesis; manifold-valued data learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neuroimaging Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza

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