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Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients.

, , , , , , , , , , , и . Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101340O. SPIE, (2017)

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Predictive cardiac motion modeling and correction with partial least squares regression., , , , , и . IEEE Trans. Medical Imaging, 23 (10): 1315-1324 (2004)Multiview Sequential Learning and Dilated Residual Learning for a Fully Automatic Delineation of the Left Atrium and Pulmonary Veins from Late Gadolinium-Enhanced Cardiac MRI Images., , , , , , , , , и . EMBC, стр. 1123-1127. IEEE, (2018)Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI., , , , , и . ICISP, том 9680 из Lecture Notes in Computer Science, стр. 179-190. Springer, (2016)Flow and Motion: Implications on Cardiac MR., , , , и . MIAR, стр. 53-60. IEEE Computer Society, (2001)Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention., , , , , , , , , и 6 other автор(ы). CoRR, (2020)Predictive cardiac motion modelling and correction., , , , , и . CARS, том 1256 из International Congress Series, стр. 1179-1184. Elsevier, (2003)A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images., , , , , , , , , и 1 other автор(ы). ISBI, стр. 844-848. IEEE, (2017)A Novel Imaging Strategy for Structural Segmentation of the Left Ventricle., , , и . MIAR, стр. 157-162. IEEE Computer Society, (2001)Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images., , , , , и . Image Processing, том 9784 из SPIE Proceedings, стр. 97840L. SPIE, (2016)Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases., , , , и . STACOM, том 8896 из Lecture Notes in Computer Science, стр. 275-283. Springer, (2014)