Dimitris Metaxas to Sensitivity and Specificity
This is a "connection" page, showing publications Dimitris Metaxas has written about Sensitivity and Specificity.
Connection Strength
1.063
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Scalable histopathological image analysis via supervised hashing with multiple features. Med Image Anal. 2016 12; 34:3-12.
Score: 0.120
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An efficient conditional random field approach for automatic and interactive neuron segmentation. Med Image Anal. 2016 Jan; 27:31-44.
Score: 0.111
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Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials. Comput Med Imaging Graph. 2015 Apr; 41:80-92.
Score: 0.103
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Deformable segmentation via sparse representation and dictionary learning. Med Image Anal. 2012 Oct; 16(7):1385-96.
Score: 0.091
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Simplified labeling process for medical image segmentation. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):387-94.
Score: 0.087
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Shape prior modeling using sparse representation and online dictionary learning. Med Image Comput Comput Assist Interv. 2012; 15(Pt 3):435-42.
Score: 0.087
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Efficient MR image reconstruction for compressed MR imaging. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):135-42.
Score: 0.076
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Lesion-specific coronary artery calcium quantification for predicting cardiac event with multiple instance support vector machines. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):484-92.
Score: 0.076
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A segmentation and tracking system for 4D cardiac tagged MR images. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:1541-4.
Score: 0.057
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A hybrid framework for 3D medical image segmentation. Med Image Anal. 2005 Dec; 9(6):547-65.
Score: 0.057
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A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning. Med Image Anal. 2015 Jan; 19(1):176-86.
Score: 0.026
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Deformable models with sparsity constraints for cardiac motion analysis. Med Image Anal. 2014 Aug; 18(6):927-37.
Score: 0.025
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Collaborative multi organ segmentation by integrating deformable and graphical models. Med Image Comput Comput Assist Interv. 2013; 16(Pt 2):157-64.
Score: 0.023
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LV motion and strain computation from tMRI based on meshless deformable models. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):636-44.
Score: 0.017
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Identifying regional cardiac abnormalities from myocardial strains using spatio-temporal tensor analysis. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):789-97.
Score: 0.017
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Tag separation in cardiac tagged MRI. Med Image Comput Comput Assist Interv. 2008; 11(Pt 2):289-97.
Score: 0.017
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Adaptive metamorphs model for 3D medical image segmentation. Med Image Comput Comput Assist Interv. 2007; 10(Pt 1):302-10.
Score: 0.015
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Ultrasound myocardial elastography and registered 3D tagged MRI: quantitative strain comparison. Med Image Comput Comput Assist Interv. 2007; 10(Pt 1):800-8.
Score: 0.015
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Boosting and nonparametric based tracking of tagged MRI cardiac boundaries. Med Image Comput Comput Assist Interv. 2006; 9(Pt 1):636-44.
Score: 0.014
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Extraction and tracking of MRI tagging sheets using a 3D Gabor filter bank. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:711-4.
Score: 0.014
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Efficient learning by combining confidence-rated classifiers to incorporate unlabeled medical data. Med Image Comput Comput Assist Interv. 2005; 8(Pt 1):745-52.
Score: 0.013