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Matthew B Maas

Showing results (41-50 of 107) with videos related to

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Neurocritical Care|July 18, 2013
Infarct volume predicts delayed recovery in patients with subarachnoid hemorrhage and severe neurological deficitsNeil F Rosenberg, Storm M Liebling, Adam R Kosteva, et al.
Journal of the Neurological Sciences|September 19, 2020
Hypocapnia, ischemic lesions, and outcomes after intracerebral hemorrhageShannon Hextrum, Jatinder S Minhas, Eric M Liotta, et al.
Critical Care Medicine|November 6, 2019
Magnesium and Hemorrhage Volume in Patients With Aneurysmal Subarachnoid HemorrhageEric M Liotta, Ameeta Karmarkar, Ayush Batra, et al.
Stroke|August 11, 2020
Magnesium and Risk of Bleeding Complications From Ventriculostomy InsertionMatthew B Maas, Babak S Jahromi, Ayush Batra, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|May 20, 2020
Natural History of Infratentorial Intracerebral Hemorrhages: Two Subgroups with Distinct Presentations and OutcomesViren D Patel, Roxanna M Garcia, Dionne E Swor, et al.
Critical Care Medicine|October 8, 2020
Circadian Gene Expression Rhythms During Critical IllnessMatthew B Maas, Marta Iwanaszko, Bryan D Lizza, et al.
The Neurologist|June 29, 2018
Inter-rater Agreement for the Diagnosis of Stroke Versus Stroke MimicAva L Liberman, Sara K Rostanski, Ilana M Ruff, et al.
Stroke|October 8, 2011
Blood pressure reduction, decreased diffusion on MRI, and outcomes after intracerebral hemorrhageRajeev K Garg, Storm M Liebling, Matthew B Maas, et al.
Cerebrovascular Diseases (Basel, Switzerland)|January 4, 2017
Refining Prognosis for Intracerebral Hemorrhage by Early ReassessmentMatthew B Maas, Brandon A Francis, Rajbeer S Sangha, et al.
Neurocritical Care|May 10, 2020
Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine LearningAndrew N Hall, Bradley Weaver, Eric Liotta, et al.
Pageof 11

Showing results (41-50 of 107) with videos related to

Sort By:
Pageof 11
Neurocritical Care|July 18, 2013
Infarct volume predicts delayed recovery in patients with subarachnoid hemorrhage and severe neurological deficitsNeil F Rosenberg, Storm M Liebling, Adam R Kosteva, et al.
Journal of the Neurological Sciences|September 19, 2020
Hypocapnia, ischemic lesions, and outcomes after intracerebral hemorrhageShannon Hextrum, Jatinder S Minhas, Eric M Liotta, et al.
Critical Care Medicine|November 6, 2019
Magnesium and Hemorrhage Volume in Patients With Aneurysmal Subarachnoid HemorrhageEric M Liotta, Ameeta Karmarkar, Ayush Batra, et al.
Stroke|August 11, 2020
Magnesium and Risk of Bleeding Complications From Ventriculostomy InsertionMatthew B Maas, Babak S Jahromi, Ayush Batra, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|May 20, 2020
Natural History of Infratentorial Intracerebral Hemorrhages: Two Subgroups with Distinct Presentations and OutcomesViren D Patel, Roxanna M Garcia, Dionne E Swor, et al.
Critical Care Medicine|October 8, 2020
Circadian Gene Expression Rhythms During Critical IllnessMatthew B Maas, Marta Iwanaszko, Bryan D Lizza, et al.
The Neurologist|June 29, 2018
Inter-rater Agreement for the Diagnosis of Stroke Versus Stroke MimicAva L Liberman, Sara K Rostanski, Ilana M Ruff, et al.
Stroke|October 8, 2011
Blood pressure reduction, decreased diffusion on MRI, and outcomes after intracerebral hemorrhageRajeev K Garg, Storm M Liebling, Matthew B Maas, et al.
Cerebrovascular Diseases (Basel, Switzerland)|January 4, 2017
Refining Prognosis for Intracerebral Hemorrhage by Early ReassessmentMatthew B Maas, Brandon A Francis, Rajbeer S Sangha, et al.
Neurocritical Care|May 10, 2020
Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine LearningAndrew N Hall, Bradley Weaver, Eric Liotta, et al.
Pageof 11