Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks

The reconstruction of cortical surfaces from brain magnetic resonance imaging (MRI) scans is essential for quantitative analyses of cortical thickness and sulcal morphology. Although traditional and deep learning-based algorithmic pipelines exist for this purpose, they have two major drawbacks: leng...

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Veröffentlicht in:	arXiv.org 2022-03
Hauptverfasser:	Bongratz, Fabian, Rickmann, Anne-Marie, Pölsterl, Sebastian, Wachinger, Christian
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Apexes Artificial neural networks Brain Deep learning Image reconstruction Machine learning Magnetic resonance imaging Mathematical morphology Neural networks Run time (computers) Testing time Topology
Online-Zugang:	Volltext
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