Dimitris Metaxas to Image Interpretation, Computer-Assisted
This is a "connection" page, showing publications Dimitris Metaxas has written about Image Interpretation, Computer-Assisted.
Connection Strength
5.741
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Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images. IEEE Trans Med Imaging. 2021 Sep; 40(9):2403-2414.
Score: 0.683
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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: 0.446
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Scalable histopathological image analysis via active learning. Med Image Comput Comput Assist Interv. 2014; 17(Pt 3):369-76.
Score: 0.401
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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: 0.401
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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: 0.375
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Deformable segmentation via sparse representation and dictionary learning. Med Image Anal. 2012 Oct; 16(7):1385-96.
Score: 0.365
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Simplified labeling process for medical image segmentation. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):387-94.
Score: 0.349
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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: 0.349
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3D cardiac motion reconstruction from CT data and tagged MRI. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4083-6.
Score: 0.349
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Efficient MR image reconstruction for compressed MR imaging. Med Image Anal. 2011 Oct; 15(5):670-9.
Score: 0.337
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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: 0.304
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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: 0.294
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Quantifying the cell morphology and predicting biological behavior of signet ring cell carcinoma using deep learning. Sci Rep. 2022 Jan 07; 12(1):183.
Score: 0.175
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Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition. IEEE Trans Med Imaging. 2016 May; 35(5):1332-1343.
Score: 0.116
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Bodypart Recognition Using Multi-stage Deep Learning. Inf Process Med Imaging. 2015; 24:449-61.
Score: 0.108
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On continuous user authentication via typing behavior. IEEE Trans Image Process. 2014 Oct; 23(10):4611-24.
Score: 0.106
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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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Sparse deformable models with application to cardiac motion analysis. Inf Process Med Imaging. 2013; 23:208-19.
Score: 0.094
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Temporal shape analysis via the spectral signature. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):49-56.
Score: 0.087
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Towards robust and effective shape modeling: sparse shape composition. Med Image Anal. 2012 Jan; 16(1):265-77.
Score: 0.085
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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: 0.084
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3D segmentation of rodent brain structures using hierarchical shape priors and deformable models. Med Image Comput Comput Assist Interv. 2011; 14(Pt 3):611-8.
Score: 0.081
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Sparsity techniques in medical imaging. Comput Med Imaging Graph. 2015 Dec; 46 Pt 1(Pt 1):1.
Score: 0.028
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Deformable segmentation via sparse shape representation. Med Image Comput Comput Assist Interv. 2011; 14(Pt 2):451-8.
Score: 0.020