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 paperResearch

Original languageEnglish
Number of pages9
DOIs
Publication statusPublished - 7 Mar 2018
SeriesbioRxiv

Cite this

Rasmussen, Kasper Gade Bøtker ; Kristensen, Mads ; Blendal, Rasmus Guldhammer ; Østergaard, Lasse Riis ; Plocharski, Maciej ; O'Brien, Kieran ; Langkammer, Christian ; Janke, Andrew ; Barth, Markus ; Bollmann, Steffen. / DeepQSM : Using deep learning to solve the dipole inversion for MRI susceptibility mapping. 2018. (bioRxiv).
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Rasmussen, KGB, Kristensen, M, Blendal, RG, Østergaard, LR, Plocharski, M, O'Brien, K, Langkammer, C, Janke, A, Barth, M & Bollmann, S 2018 'DeepQSM: Using deep learning to solve the dipole inversion for MRI susceptibility mapping'. https://doi.org/10.1101/278036

DeepQSM : Using deep learning to solve the dipole inversion for MRI susceptibility mapping. / Rasmussen, Kasper Gade Bøtker; Kristensen, Mads; Blendal, Rasmus Guldhammer; Østergaard, Lasse Riis; Plocharski, Maciej; O'Brien, Kieran; Langkammer, Christian; Janke, Andrew; Barth, Markus; Bollmann, Steffen.

2018.

Research output: Working paperResearch

TY - UNPB

T1 - DeepQSM

T2 - Using deep learning to solve the dipole inversion for MRI susceptibility mapping

AU - Rasmussen, Kasper Gade Bøtker

AU - Kristensen, Mads

AU - Blendal, Rasmus Guldhammer

AU - Østergaard, Lasse Riis

AU - Plocharski, Maciej

AU - O'Brien, Kieran

AU - Langkammer, Christian

AU - Janke, Andrew

AU - Barth, Markus

AU - Bollmann, Steffen

PY - 2018/3/7

Y1 - 2018/3/7

U2 - 10.1101/278036

DO - 10.1101/278036

M3 - Working paper

BT - DeepQSM

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