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Kyrre E Emblem

Showing results (1-10 of 71) with videos related to

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Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|January 21, 2010
A fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRIAtle Bjørnerud, Kyrre E Emblem
Nature Medicine|November 9, 2016
Improving treatment of liver metastases by targeting nonangiogenic mechanismsKyrre E Emblem, Rakesh K Jain
Cancer Journal (Sudbury, Mass.)|July 30, 2015
Vascular Magnetic Resonance Imaging in Brain Tumors During Antiangiogenic Therapy--Are We There Yet?Elizabeth R Gerstner, Kyrre E Emblem, Gregory A Sorensen
Zeitschrift Fur Medizinische Physik|April 17, 2012
SVM-based glioma grading: Optimization by feature reduction analysisFrank G Zöllner, Kyrre E Emblem, Lothar R Schad
Magnetic Resonance in Medicine|June 22, 2010
Support vector machines in DSC-based glioma imaging: suggestions for optimal characterizationFrank G Zöllner, Kyrre E Emblem, Lothar R Schad
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|April 21, 2011
T1- and T2*-dominant extravasation correction in DSC-MRI: part I--theoretical considerations and implications for assessment of tumor hemodynamic propertiesAtle Bjornerud, A Gregory Sorensen, Kim Mouridsen, et al.
Cancers|February 25, 2022
Inducing Biomechanical Heterogeneity in Brain Tumor Modeling by MR Elastography: Effects on Tumor Growth, Vascular Density and Delivery of TherapeuticsConstantinos Harkos, Siri Fløgstad Svensson, Kyrre E Emblem, et al.
Fluids and Barriers of the CNS|January 30, 2026
Modeling glioma-induced impairments on the glymphatic systemAlexandre Poulain, Jørgen Riseth, Kyrre E Emblem, et al.
Neuroimage. Clinical|September 14, 2018
Towards patient-specific modeling of brain tumor growth and formation of secondary nodes guided by DTI-MRIStelios Angeli, Kyrre E Emblem, Paulina Due-Tonnessen, et al.
BMC Medical Informatics and Decision Making|October 18, 2023
Interpreting deep learning models for glioma survival classification using visualization and textual explanationsMichael Osadebey, Qinghui Liu, Elies Fuster-Garcia, et al.
Pageof 8

Showing results (1-10 of 71) with videos related to

Sort By:
Pageof 8
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|January 21, 2010
A fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRIAtle Bjørnerud, Kyrre E Emblem
Nature Medicine|November 9, 2016
Improving treatment of liver metastases by targeting nonangiogenic mechanismsKyrre E Emblem, Rakesh K Jain
Cancer Journal (Sudbury, Mass.)|July 30, 2015
Vascular Magnetic Resonance Imaging in Brain Tumors During Antiangiogenic Therapy--Are We There Yet?Elizabeth R Gerstner, Kyrre E Emblem, Gregory A Sorensen
Zeitschrift Fur Medizinische Physik|April 17, 2012
SVM-based glioma grading: Optimization by feature reduction analysisFrank G Zöllner, Kyrre E Emblem, Lothar R Schad
Magnetic Resonance in Medicine|June 22, 2010
Support vector machines in DSC-based glioma imaging: suggestions for optimal characterizationFrank G Zöllner, Kyrre E Emblem, Lothar R Schad
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|April 21, 2011
T1- and T2*-dominant extravasation correction in DSC-MRI: part I--theoretical considerations and implications for assessment of tumor hemodynamic propertiesAtle Bjornerud, A Gregory Sorensen, Kim Mouridsen, et al.
Cancers|February 25, 2022
Inducing Biomechanical Heterogeneity in Brain Tumor Modeling by MR Elastography: Effects on Tumor Growth, Vascular Density and Delivery of TherapeuticsConstantinos Harkos, Siri Fløgstad Svensson, Kyrre E Emblem, et al.
Fluids and Barriers of the CNS|January 30, 2026
Modeling glioma-induced impairments on the glymphatic systemAlexandre Poulain, Jørgen Riseth, Kyrre E Emblem, et al.
Neuroimage. Clinical|September 14, 2018
Towards patient-specific modeling of brain tumor growth and formation of secondary nodes guided by DTI-MRIStelios Angeli, Kyrre E Emblem, Paulina Due-Tonnessen, et al.
BMC Medical Informatics and Decision Making|October 18, 2023
Interpreting deep learning models for glioma survival classification using visualization and textual explanationsMichael Osadebey, Qinghui Liu, Elies Fuster-Garcia, et al.
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