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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Pubblicato in:Neuroinformatics
Autori principali: Milchenko, Mikhail, Snyder, Abraham Z., LaMontagne, Pamela, Shimony, Joshua S, Benzinger, Tammie L., Fouke, Sarah Jost, Marcus, Daniel S.
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2016
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Article
Accesso online: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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