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Paper Details

Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data.
Stroke
32
2019
-GENIE, Acute Ischemic Stroke, Ischemic stroke, Patients, Stroke, acute ischemic lesions, acute ischemic stroke, patient, patients, small artery occlusion stroke, stroke
Author NameAffiliation
Ona WuFrom Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
John W ColeUniversity of Maryland School of Medicine and Veterans Affairs Maryland Health Care System
Huichun XuUniversity of Maryland School of Medicine
Huichun XuUniversity of Maryland School of Medicine
Patrick F McArdleUniversity of Maryland School of Medicine
Daniel WooUniversity of Cincinnati College of Medicine
Braxton D MitchellUniversity of Maryland School of Medicine
Braxton D MitchellGeriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center
Jonathan RosandHenry and Allison McCance Center for Brain Health Massachusetts General Hospital
Jonathan RosandHenry and Allison McCance Center for Brain Health Massachusetts General Hospital
Bradford B WorrallUniversity of Virginia
Natalia S RostJP Kistler Stroke Research Center
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