Dimitris Metaxas to Sensitivity and Specificity
This is a "connection" page, showing publications Dimitris Metaxas has written about Sensitivity and Specificity.
Connection Strength
1.570
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Scalable histopathological image analysis via supervised hashing with multiple features. Med Image Anal. 2016 Dec; 34:3-12.
Score: 0.124
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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: 0.115
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Computer-aided diagnosis of mammographic masses using scalable image retrieval. IEEE Trans Biomed Eng. 2015 Feb; 62(2):783-92.
Score: 0.110
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On continuous user authentication via typing behavior. IEEE Trans Image Process. 2014 Oct; 23(10):4611-24.
Score: 0.109
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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: 0.107
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Scalable histopathological image analysis via active learning. Med Image Comput Comput Assist Interv. 2014; 17(Pt 3):369-76.
Score: 0.104
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Optree: a learning-based adaptive watershed algorithm for neuron segmentation. Med Image Comput Comput Assist Interv. 2014; 17(Pt 1):97-105.
Score: 0.104
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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: 0.097
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Deformable segmentation via sparse representation and dictionary learning. Med Image Anal. 2012 Oct; 16(7):1385-96.
Score: 0.094
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Simplified labeling process for medical image segmentation. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):387-94.
Score: 0.090
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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: 0.090
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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: 0.079
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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: 0.079
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CoCRF deformable model: a geometric model driven by collaborative conditional random fields. IEEE Trans Image Process. 2009 Oct; 18(10):2316-29.
Score: 0.076
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Bodypart Recognition Using Multi-stage Deep Learning. Inf Process Med Imaging. 2015; 24:449-61.
Score: 0.028
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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: 0.027
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Deformable models with sparsity constraints for cardiac motion analysis. Med Image Anal. 2014 Aug; 18(6):927-37.
Score: 0.026
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Segmenting the papillary muscles and the trabeculae from high resolution cardiac CT through restoration of topological handles. Inf Process Med Imaging. 2013; 23:184-95.
Score: 0.024
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Sparse deformable models with application to cardiac motion analysis. Inf Process Med Imaging. 2013; 23:208-19.
Score: 0.024
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Temporal shape analysis via the spectral signature. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):49-56.
Score: 0.023
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Towards robust and effective shape modeling: sparse shape composition. Med Image Anal. 2012 Jan; 16(1):265-77.
Score: 0.022
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A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy. Med Phys. 2010 Mar; 37(3):1298-308.
Score: 0.020