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Irene K Mikkelsen

Showing results (1-10 of 19) with videos related to

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Magnetic Resonance in Medicine|April 15, 2009
Analysis of partial volume effects on arterial input functions using gradient echo: a simulation studyBirgitte F Kjølby, Irene K Mikkelsen, Michael Pedersen, et al.
Stroke|March 16, 2018
Boosted Tree Model Reforms Multimodal Magnetic Resonance Imaging Infarct Prediction in Acute StrokeMichelle Livne, Jens K Boldsen, Irene K Mikkelsen, et al.
Frontiers in Neurology|November 23, 2017
Predictors of Infarct Growth in Patients with Large Vessel Occlusion Treated with Endovascular TherapyClaus Z Simonsen, Irene K Mikkelsen, Sanja Karabegovic, et al.
Stroke|November 13, 2014
Sensitivity of diffusion- and perfusion-weighted imaging for diagnosing acute ischemic stroke is 97.5%Claus Z Simonsen, Mette H Madsen, Marie L Schmitz, et al.
Plos One|January 4, 2019
Robust estimation of hemo-dynamic parameters in traditional DCE-MRI modelsMikkel B Hansen, Anna Tietze, Søren Haack, et al.
Journal of Neurosurgical Anesthesiology|December 3, 2021
Correlation Between Cerebral Tissue Oxygen Saturation and Oxygen Extraction Fraction During Anesthesia: Monitoring Cerebral Metabolic Demand-supply Balance During Vasopressor AdministrationKlaus U Koch, Xu Zhao, Irene K Mikkelsen, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 6, 2013
Cerebral perfusion measured by dynamic susceptibility contrast MRI is reduced in patients with idiopathic normal pressure hydrocephalusDoerthe Ziegelitz, Göran Starck, David Kristiansen, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|May 19, 2016
Early neurological deterioration after thrombolysis: Clinical and imaging predictorsClaus Z Simonsen, Marie L Schmitz, Mette H Madsen, et al.
Magnetic Resonance in Medicine|March 3, 2009
Absolute quantification of cerebral blood flow in neurologically normal volunteers: dynamic-susceptibility contrast MRI-perfusion compared with computed tomography (CT)-perfusionDoerthe Ziegelitz, Göran Starck, Irene K Mikkelsen, et al.
International Journal of Computer Assisted Radiology and Surgery|June 22, 2016
Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantificationErhard Næss-Schmidt, Anna Tietze, Jakob Udby Blicher, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Magnetic Resonance in Medicine|April 15, 2009
Analysis of partial volume effects on arterial input functions using gradient echo: a simulation studyBirgitte F Kjølby, Irene K Mikkelsen, Michael Pedersen, et al.
Stroke|March 16, 2018
Boosted Tree Model Reforms Multimodal Magnetic Resonance Imaging Infarct Prediction in Acute StrokeMichelle Livne, Jens K Boldsen, Irene K Mikkelsen, et al.
Frontiers in Neurology|November 23, 2017
Predictors of Infarct Growth in Patients with Large Vessel Occlusion Treated with Endovascular TherapyClaus Z Simonsen, Irene K Mikkelsen, Sanja Karabegovic, et al.
Stroke|November 13, 2014
Sensitivity of diffusion- and perfusion-weighted imaging for diagnosing acute ischemic stroke is 97.5%Claus Z Simonsen, Mette H Madsen, Marie L Schmitz, et al.
Plos One|January 4, 2019
Robust estimation of hemo-dynamic parameters in traditional DCE-MRI modelsMikkel B Hansen, Anna Tietze, Søren Haack, et al.
Journal of Neurosurgical Anesthesiology|December 3, 2021
Correlation Between Cerebral Tissue Oxygen Saturation and Oxygen Extraction Fraction During Anesthesia: Monitoring Cerebral Metabolic Demand-supply Balance During Vasopressor AdministrationKlaus U Koch, Xu Zhao, Irene K Mikkelsen, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 6, 2013
Cerebral perfusion measured by dynamic susceptibility contrast MRI is reduced in patients with idiopathic normal pressure hydrocephalusDoerthe Ziegelitz, Göran Starck, David Kristiansen, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|May 19, 2016
Early neurological deterioration after thrombolysis: Clinical and imaging predictorsClaus Z Simonsen, Marie L Schmitz, Mette H Madsen, et al.
Magnetic Resonance in Medicine|March 3, 2009
Absolute quantification of cerebral blood flow in neurologically normal volunteers: dynamic-susceptibility contrast MRI-perfusion compared with computed tomography (CT)-perfusionDoerthe Ziegelitz, Göran Starck, Irene K Mikkelsen, et al.
International Journal of Computer Assisted Radiology and Surgery|June 22, 2016
Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantificationErhard Næss-Schmidt, Anna Tietze, Jakob Udby Blicher, et al.
Pageof 2