DeepQSM: Using deep learning to solve the dipole inversion for MRI susceptibility mapping

Kasper Gade Bøtker Rasmussen; Mads Kristensen; Rasmus Guldhammer Blendal; Lasse Riis Østergaard; Maciej Plocharski; Kieran O'Brien; Christian Langkammer; Andrew Janke; Markus Barth; Steffen Bollmann

doi:10.1101/278036

DeepQSM: Using deep learning to solve the dipole inversion for MRI susceptibility mapping

Kasper Gade Bøtker Rasmussen, Mads Kristensen, Rasmus Guldhammer Blendal, Lasse Riis Østergaard, Maciej Plocharski, Kieran O'Brien, Christian Langkammer, Andrew Janke, Markus Barth, Steffen Bollmann

Research output: Working paper/Preprint › Working paper › Research

Original language	English
Number of pages	9
DOIs	https://doi.org/10.1101/278036
Publication status	Published - 7 Mar 2018

Series	bioRxiv

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10.1101/278036

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title = "DeepQSM: Using deep learning to solve the dipole inversion for MRI susceptibility mapping",

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AU - Østergaard, Lasse Riis

AU - Plocharski, Maciej

AU - O'Brien, Kieran

AU - Langkammer, Christian

AU - Janke, Andrew

AU - Barth, Markus

AU - Bollmann, Steffen

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