Automated segmentation of deep brain nuclei using convolutional neural networks and susceptibility weighted imaging

Author:

Beliveau Vincent12ORCID,Nørgaard Martin34ORCID,Birkl Christoph5ORCID,Seppi Klaus12ORCID,Scherfler Christoph12ORCID

Affiliation:

1. Department of Neurology Medical University of Innsbruck Innsbruck Austria

2. Neuroimaging Research Core Facility Medical University of Innsbruck Innsbruck Austria

3. Neurobiology Research Unit & CIMBI Copenhagen University Hospital Copenhagen Denmark

4. Center for Reproducible Neuroscience, Department of Psychology Stanford University Stanford California USA

5. Department of Neuroradiology Medical University of Innsbruck Innsbruck Austria

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference57 articles.

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2. In Vivo MRI Mapping of Brain Iron Deposition across the Adult Lifespan

3. A role for heme in Alzheimer's disease: Heme binds amyloid   and has altered metabolism

4. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge;Bakas S.;arXiv Preprints,2018

5. Segmentation of substantia nigra for the automated characterization of Parkinson's disease;Basukala D.;Proceedings of IEEE 3rd International Image Processing Applications and Systems Conference,2019

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