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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.Magnetic Resonance in Medicine|March 3, 2009
Automatic vessel removal in gliomas from dynamic susceptibility contrast imagingKyrre E Emblem, Paulina Due-Tonnessen, John K Hald, et al.Journal of Computer Assisted Tomography|January 1, 2014
Identifying the central sulcus in patients with intra-axial lesions: a multicenter study comparing conventional presurgical MRI to topographical analysis and BOLD-fMRIPaulina Due-Tonnessen, Inge Rasmussen, Erik Magnus Berntsen, et al.Journal of Magnetic Resonance Imaging : JMRI|June 27, 2009
Automatic glioma characterization from dynamic susceptibility contrast imaging: brain tumor segmentation using knowledge-based fuzzy clusteringKyrre E Emblem, Baard Nedregaard, John K Hald, et al.Radiology|May 20, 2008
Glioma grading by using histogram analysis of blood volume heterogeneity from MR-derived cerebral blood volume mapsKyrre E Emblem, Baard Nedregaard, Terje Nome, et al.Magnetic Resonance in Medicine|September 26, 2008
Predictive modeling in glioma grading from MR perfusion images using support vector machinesKyrre E Emblem, Frank G Zoellner, Bjorn Tennoe, et al.Journal of Magnetic Resonance Imaging : JMRI|April 23, 2014
Machine learning in preoperative glioma MRI: survival associations by perfusion-based support vector machine outperforms traditional MRIKyrre E Emblem, Paulina Due-Tonnessen, John K Hald, et al.Radiology|December 9, 2014
A generic support vector machine model for preoperative glioma survival associationsKyrre E Emblem, Marco C Pinho, Frank G Zöllner, et al.Pageof 1