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Poster communications

Optimal acquisition design for sparse reconstruction using dictionary learning in diffusion Magnetic Resonance Imaging

Raphaël Truffet 1 Emmanuel Caruyer 1
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, Inria Rennes – Bretagne Atlantique , INSERM - Institut National de la Santé et de la Recherche Médicale : U1228
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Poster communications
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https://www.hal.inserm.fr/inserm-01939066
Contributor : Raphaël Truffet <>
Submitted on : Thursday, November 29, 2018 - 10:45:41 AM
Last modification on : Wednesday, June 24, 2020 - 4:19:47 PM

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  • HAL Id : inserm-01939066, version 1

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Raphaël Truffet, Emmanuel Caruyer. Optimal acquisition design for sparse reconstruction using dictionary learning in diffusion Magnetic Resonance Imaging. AI days 2018, Apr 2018, Rennes, France. pp.1. ⟨inserm-01939066v1⟩

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