Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research

Neuroimaging research often relies on clinically acquired magnetic resonance imaging (MRI) datasets that can originate from multiple institutions. Such datasets are characterized by high heterogeneity of modalities and variability of sequence parameters. This heterogeneity complicates the automation...

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Veröffentlicht in:Neuroinformatics
Hauptverfasser: Milchenko, Mikhail, Snyder, Abraham Z., LaMontagne, Pamela, Shimony, Joshua S, Benzinger, Tammie L., Fouke, Sarah Jost, Marcus, Daniel S.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2016
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4899239/
https://ncbi.nlm.nih.gov/pubmed/26910516
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12021-016-9296-7
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