DORIS: A diffusion MRI-based 10 tissue class deep learning segmentation algorithm tailored to improve anatomically-constrained tractography.

Theaud, Guillaume; Edde, Manon; Dumont, Matthieu; Zotti, Clément; Zucchelli, Mauro; Deslauriers-Gauthier, Samuel; Deriche, Rachid; Jodoin, Pierre-Marc; Descoteaux, Maxime

Theaud, Guillaume; Edde, Manon; Dumont, Matthieu; Zotti, Clément; Zucchelli, Mauro; Deslauriers-Gauthier, Samuel; Deriche, Rachid; Jodoin, Pierre-Marc; Descoteaux, Maxime.

Afiliación

Theaud G; Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada.
Edde M; Imeka Solutions Inc., Sherbrooke, QC, Canada.
Dumont M; Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada.
Zotti C; Imeka Solutions Inc., Sherbrooke, QC, Canada.
Zucchelli M; Imeka Solutions Inc., Sherbrooke, QC, Canada.
Deslauriers-Gauthier S; Athena Project-Team, Inria Sophia Antipolis-Méditerranée, Université Côte D'Azur, Nice, France.
Deriche R; Athena Project-Team, Inria Sophia Antipolis-Méditerranée, Université Côte D'Azur, Nice, France.
Jodoin PM; Athena Project-Team, Inria Sophia Antipolis-Méditerranée, Université Côte D'Azur, Nice, France.
Descoteaux M; Imeka Solutions Inc., Sherbrooke, QC, Canada.

Front Neuroimaging ; 1: 917806, 2022.

Article en En | MEDLINE | ID: mdl-37555143

Palabras clave

anatomical constraints; diffusion magnetic resonance imaging; image segmentation; machine learning; tractography

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neuroimaging Año: 2022 Tipo del documento: Article País de afiliación: Canadá

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