FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

Henschel, Leonie; Conjeti, Sailesh; Estrada, Santiago; Diers, Kersten; Fischl, Bruce; Reuter, Martin

doi:10.1016/j.neuroimage.2020.117012

articleNeuroImageJun 8, 2020GOLD OA

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

LHLeonie Henschel SCSailesh Conjeti SESantiago Estrada KDKersten Diers BFBruce Fischl

German Center for Neurodegenerative Diseases · Harvard University · +2 more institutions

PubMed

Indexed inarxivcrossrefdatacitedoajpubmed

Abstract

Traditional neuroimage analysis pipelines involve computationally intensive, time-consuming optimization steps, and thus, do not scale well to large cohort studies with thousands or tens of thousands of individuals. In this work we propose a fast and accurate deep learning based neuroimaging pipeline for the automated processing of structural human brain MRI scans, replicating FreeSurfer's anatomical segmentation including surface reconstruction and cortical parcellation. To this end, we introduce an advanced deep learning architecture capable of whole-brain segmentation into 95 classes. The network architecture incorporates local and global competition via competitive dense blocks and competitive skip…

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645

total citations

FWCI: 30.30
Percentile: 100%
References: 163

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Authors

6

Topics & keywords

Topics

Keywords

Pipeline (software)
Computer science
Deep learning
Neuroimaging
Segmentation
Artificial intelligence
Generalizability theory
Pattern recognition (psychology)

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