Dimitris Metaxas to Reproducibility of Results
This is a "connection" page, showing publications Dimitris Metaxas has written about Reproducibility of Results.
Connection Strength
1.051
-
Scalable histopathological image analysis via supervised hashing with multiple features. Med Image Anal. 2016 12; 34:3-12.
Score: 0.111
-
An efficient conditional random field approach for automatic and interactive neuron segmentation. Med Image Anal. 2016 Jan; 27:31-44.
Score: 0.103
-
Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials. Comput Med Imaging Graph. 2015 Apr; 41:80-92.
Score: 0.096
-
Deformable segmentation via sparse representation and dictionary learning. Med Image Anal. 2012 Oct; 16(7):1385-96.
Score: 0.084
-
Simplified labeling process for medical image segmentation. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):387-94.
Score: 0.081
-
Shape prior modeling using sparse representation and online dictionary learning. Med Image Comput Comput Assist Interv. 2012; 15(Pt 3):435-42.
Score: 0.081
-
Efficient MR image reconstruction for compressed MR imaging. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):135-42.
Score: 0.070
-
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: 0.070
-
A segmentation and tracking system for 4D cardiac tagged MR images. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:1541-4.
Score: 0.053
-
A hybrid framework for 3D medical image segmentation. Med Image Anal. 2005 Dec; 9(6):547-65.
Score: 0.053
-
Using a marker-less method for estimating L5/S1 moments during symmetrical lifting. Appl Ergon. 2017 Nov; 65:541-550.
Score: 0.029
-
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: 0.025
-
Deformable models with sparsity constraints for cardiac motion analysis. Med Image Anal. 2014 Aug; 18(6):927-37.
Score: 0.024
-
Collaborative multi organ segmentation by integrating deformable and graphical models. Med Image Comput Comput Assist Interv. 2013; 16(Pt 2):157-64.
Score: 0.022
-
Identifying regional cardiac abnormalities from myocardial strains using nontracking-based strain estimation and spatio-temporal tensor analysis. IEEE Trans Med Imaging. 2011 Dec; 30(12):2017-29.
Score: 0.019
-
Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow. Med Image Comput Comput Assist Interv. 2011; 14(Pt 1):468-75.
Score: 0.019
-
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: 0.015
-
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: 0.015
-
Tag separation in cardiac tagged MRI. Med Image Comput Comput Assist Interv. 2008; 11(Pt 2):289-97.
Score: 0.015
-
Adaptive metamorphs model for 3D medical image segmentation. Med Image Comput Comput Assist Interv. 2007; 10(Pt 1):302-10.
Score: 0.014
-
Ultrasound myocardial elastography and registered 3D tagged MRI: quantitative strain comparison. Med Image Comput Comput Assist Interv. 2007; 10(Pt 1):800-8.
Score: 0.014
-
Boosting and nonparametric based tracking of tagged MRI cardiac boundaries. Med Image Comput Comput Assist Interv. 2006; 9(Pt 1):636-44.
Score: 0.013
-
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: 0.013
-
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: 0.012