Fully-Connected Neural Network and Spherical-Harmonics Rotation Invariant Features improve the estimation of brain tissue microstructure in Diffusion MRI | Zendy

Mauro Zucchelli | Zendy; Samuel DeslauriersGauthier | Zendy; Rachid Deriche | Zendy

Open Access

Fully-Connected Neural Network and Spherical-Harmonics Rotation Invariant Features improve the estimation of brain tissue microstructure in Diffusion MRI

Author(s) -

Mauro Zucchelli,

Samuel DeslauriersGauthier,

Rachid Deriche

Publication year - 2020

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

Subject(s) - diffusion mri , spherical harmonics , thermal diffusivity , isotropy , fractional anisotropy , rotation (mathematics) , human connectome project , signal (programming language) , invariant (physics) , voxel , diffusion , computer science , biological system , artificial intelligence , nuclear magnetic resonance , materials science , mathematical analysis , physics , magnetic resonance imaging , mathematics , neuroscience , optics , medicine , quantum mechanics , mathematical physics , radiology , thermodynamics , biology , functional connectivity , programming language

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