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A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images.

, , , , , , , , , , and . ISBI, page 844-848. IEEE, (2017)

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Translational Motion Compensation for Soft Tissue Velocity Images., , , , and . CoRR, (2018)Motion-compensated MR valve imaging with COMB tag tracking and super-resolution enhancement., , , , , and . Medical Image Anal., 11 (5): 478-491 (2007)Predictive cardiac motion modeling and correction with partial least squares regression., , , , , and . IEEE Trans. Medical Imaging, 23 (10): 1315-1324 (2004)Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention., , , , , , , , , and 6 other author(s). Future Gener. Comput. Syst., (2020)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., , , , , , , , , and . EMBC, page 1123-1127. IEEE, (2018)Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI., , , , , and . ICISP, volume 9680 of Lecture Notes in Computer Science, page 179-190. Springer, (2016)Flow and Motion: Implications on Cardiac MR., , , , and . MIAR, page 53-60. IEEE Computer Society, (2001)Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework., , , , , , , , and . CoRR, (2019)Constrained Statistical Modelling of Knee Flexion From Multi-Pose Magnetic Resonance Imaging., , , , , , , , , and 2 other author(s). IEEE Trans. Medical Imaging, 35 (7): 1686-1695 (2016)Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data., , , , , , and . IEEE Trans. Medical Imaging, 41 (2): 420-433 (2022)