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Showing results (201-210 of 204) with videos related to

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BMC Medical Genomics|June 4, 2014
Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group projectRivka R Colen, Mark Vangel, Jixin Wang, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|September 12, 2021
Standardizing postoperative handoffs using the evidence-based IPASS framework through a multidisciplinary initiative improves handoff communication for neurosurgical patients in the neuro-intensive care unitRichard F Schmidt, Matthew D Vibbert, Coleen A Vernick, et al.
Annals of Surgical Oncology|December 22, 2017
Hypothyroidism and Wound Healing After Salvage LaryngectomyAndrew J Rosko, Andrew C Birkeland, Emily Bellile, et al.
Cancer|December 1, 2015
Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stageElizabeth S Burnside, Karen Drukker, Hui Li, et al.
Pageof 21

Showing results (201-210 of 204) with videos related to

Sort By:
Pageof 21
You have reached the last page of results.This site can display upto 204 results.
BMC Medical Genomics|June 4, 2014
Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group projectRivka R Colen, Mark Vangel, Jixin Wang, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|September 12, 2021
Standardizing postoperative handoffs using the evidence-based IPASS framework through a multidisciplinary initiative improves handoff communication for neurosurgical patients in the neuro-intensive care unitRichard F Schmidt, Matthew D Vibbert, Coleen A Vernick, et al.
Annals of Surgical Oncology|December 22, 2017
Hypothyroidism and Wound Healing After Salvage LaryngectomyAndrew J Rosko, Andrew C Birkeland, Emily Bellile, et al.
Cancer|December 1, 2015
Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stageElizabeth S Burnside, Karen Drukker, Hui Li, et al.
Pageof 21