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Kim Mouridsen

Showing results (1-10 of 76) with videos related to

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Stroke|July 23, 2020
Artificial Intelligence Applications in StrokeKim Mouridsen, Patrick Thurner, Greg Zaharchuk
Stroke|July 18, 2009
Predicting tissue outcome from acute stroke magnetic resonance imaging: improving model performance by optimal sampling of training dataKristjana Yr Jonsdottir, Leif Østergaard, Kim Mouridsen
Neuroradiology|March 7, 2015
The impact of reliable prebolus T 1 measurements or a fixed T 1 value in the assessment of glioma patients with dynamic contrast enhancing MRIAnna Tietze, Kim Mouridsen, Irene Klærke Mikkelsen
Current Opinion in Neurology|January 22, 2009
Predicting tissue outcome in stroke: new approachesLeif Ostergaard, Kristjana Yr Jónsdóttir, Kim Mouridsen
Neuroimage|August 8, 2009
The QUASAR reproducibility study, Part II: Results from a multi-center Arterial Spin Labeling test-retest studyEsben Thade Petersen, Kim Mouridsen, Xavier Golay, et al.
Magnetic Resonance in Medicine|February 3, 2006
Automatic selection of arterial input function using cluster analysisKim Mouridsen, Søren Christensen, Louise Gyldensted, et al.
Stroke|May 4, 2018
Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep LearningAnne Nielsen, Mikkel Bo Hansen, Anna Tietze, et al.
Plos One|April 16, 2015
Perfusion MRI derived indices of microvascular shunting and flow control correlate with tumor grade and outcome in patients with cerebral gliomaAnna Tietze, Kim Mouridsen, Yasmin Lassen-Ramshad, et al.
Consciousness and Cognition|May 27, 2006
Is conscious perception gradual or dichotomous? A comparison of report methodologies during a visual taskMorten Overgaard, Julian Rote, Kim Mouridsen, et al.
Human Brain Mapping|May 26, 2007
Accessing the mental space-Spatial working memory processes for language and vision overlap in precuneusMikkel Wallentin, Ethan Weed, Leif Østergaard, et al.
Pageof 8

Showing results (1-10 of 76) with videos related to

Sort By:
Pageof 8
Stroke|July 23, 2020
Artificial Intelligence Applications in StrokeKim Mouridsen, Patrick Thurner, Greg Zaharchuk
Stroke|July 18, 2009
Predicting tissue outcome from acute stroke magnetic resonance imaging: improving model performance by optimal sampling of training dataKristjana Yr Jonsdottir, Leif Østergaard, Kim Mouridsen
Neuroradiology|March 7, 2015
The impact of reliable prebolus T 1 measurements or a fixed T 1 value in the assessment of glioma patients with dynamic contrast enhancing MRIAnna Tietze, Kim Mouridsen, Irene Klærke Mikkelsen
Current Opinion in Neurology|January 22, 2009
Predicting tissue outcome in stroke: new approachesLeif Ostergaard, Kristjana Yr Jónsdóttir, Kim Mouridsen
Neuroimage|August 8, 2009
The QUASAR reproducibility study, Part II: Results from a multi-center Arterial Spin Labeling test-retest studyEsben Thade Petersen, Kim Mouridsen, Xavier Golay, et al.
Magnetic Resonance in Medicine|February 3, 2006
Automatic selection of arterial input function using cluster analysisKim Mouridsen, Søren Christensen, Louise Gyldensted, et al.
Stroke|May 4, 2018
Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep LearningAnne Nielsen, Mikkel Bo Hansen, Anna Tietze, et al.
Plos One|April 16, 2015
Perfusion MRI derived indices of microvascular shunting and flow control correlate with tumor grade and outcome in patients with cerebral gliomaAnna Tietze, Kim Mouridsen, Yasmin Lassen-Ramshad, et al.
Consciousness and Cognition|May 27, 2006
Is conscious perception gradual or dichotomous? A comparison of report methodologies during a visual taskMorten Overgaard, Julian Rote, Kim Mouridsen, et al.
Human Brain Mapping|May 26, 2007
Accessing the mental space-Spatial working memory processes for language and vision overlap in precuneusMikkel Wallentin, Ethan Weed, Leif Østergaard, et al.
Pageof 8