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CCNI | Clinical Computational Neuroimaging Group
Department of Radiology, Massachusetts General Hospital
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Deep learning used to analyze Stroke Big Data
September 30, 2019
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Latest Publications
Rich-Club Organization: An Important Determinant of Functional Outcome After Acute Ischemic Stroke
Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data
Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI
Reduced Ischemic Lesion Growth with Heparin in Acute Ischemic Stroke
White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts - The MRI-GENIE study
Spatial Signature of White Matter Hyperintensities in Stroke Patients
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