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Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI.

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Deep multi-scale pyramidal features network for supervised video summarization., , , , and . Expert Syst. Appl., 237 (Part C): 121288 (March 2024)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)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)Deep learning based speech emotion recognition for Parkinson patient., , , , and . Image Processing: Algorithms and Systems, page 298-1. Society for Imaging Science and Technology, (2023)JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets., , , , , , , , , and . IEEE J. Biomed. Health Informatics, 26 (1): 103-114 (2022)Serious Games in Science Education. A Systematic Literature Review., , , , , , and . Virtual Real. Intell. Hardw., 4 (3): 189-209 (2022)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)JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets., , , , , , , , , and . CoRR, (2021)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)