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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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Bibliografische gegevens
Gepubliceerd in:Neuroinformatics
Hoofdauteurs: Milchenko, Mikhail, Snyder, Abraham Z., LaMontagne, Pamela, Shimony, Joshua S, Benzinger, Tammie L., Fouke, Sarah Jost, Marcus, Daniel S.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2016
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Online toegang: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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