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Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI.

, , , , , , , , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 1013313. SPIE, (2017)

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Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI., , , , , , , , , and 3 other author(s). CoRR, (2017)A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images., , , , , , , , , and 1 other author(s). ISBI, page 844-848. IEEE, (2017)Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340O. SPIE, (2017)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)Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders., , , , , , , , , and 1 other author(s). MIUA, volume 723 of Communications in Computer and Information Science, page 195-206. Springer, (2017)Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI., , , , , , , , , and 2 other author(s). Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 1013313. SPIE, (2017)