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Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior., , , , и . ISBI, стр. 898-902. IEEE, (2018)A Bayesian formulation of graph-cut surface estimation with global shape priors., , и . ISBI, стр. 368-371. IEEE, (2015)Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes., , , и . IPMI, том 7917 из Lecture Notes in Computer Science, стр. 656-667. Springer, (2013)ShapeCut: Bayesian surface estimation using shape-driven graph., , и . Medical Image Anal., (2017)Proper ordered meshing of complex shapes and optimal graph cuts applied to atrial-wall segmentation from DE-MRI., , , и . ISBI, стр. 1296-1299. IEEE, (2013)Detecting Microcalcifications in Digital Mammograms using Wavelet Domain Hidden Markov Tree Model., , , и . EMBC, стр. 1972-1975. IEEE, (2006)Surface-Based Image Segmentation Using Application-Specific Priors.. University of Utah, USA, (2016)Detecting anomalies from echocardiography using multi-view regression of clinical measurements., , , , и . ISBI, стр. 1504-1508. IEEE, (2018)Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks., , и . CVPR Workshops, стр. 2353-2361. Computer Vision Foundation / IEEE, (2020)Segmentation of anatomical structures in cardiac CTA using multi-label V-Net., , , , , , и . Medical Imaging: Image Processing, том 10574 из SPIE Proceedings, стр. 1057407. SPIE, (2018)