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A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers., , and . EMBC, page 1198-1202. IEEE, (2020)Image-Based Computational Evaluation of the Competing Effect of Atrial Wall Thickness and Fibrosis on Re-entrant Drivers for Atrial Arrhythmias., , and . CinC, www.cinc.org, (2017)Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium., , , , , , and . PLoS Comput. Biol., (2020)Segmentation Challenge on the Quantification of Left Atrial Wall Thickness., , , , , , , , and . STACOM@MICCAI, volume 10124 of Lecture Notes in Computer Science, page 193-200. Springer, (2016)Prototype of a Cardiac MRI Simulator for the Training of Supervised Neural Networks., and . FIMH, volume 13958 of Lecture Notes in Computer Science, page 366-374. Springer, (2023)Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps., , , , , , , , , and . FIMH, volume 13958 of Lecture Notes in Computer Science, page 648-657. Springer, (2023)SA-Net: A Sequence Aware Network for the Segmentation of the Left Atrium in Cine MRI Datasets., and . ISBI, page 766-769. IEEE, (2021)Ionic Mechanisms of Triggered Activity in Atrial Cell Models., , , , and . CinC, page 1021-1024. www.cinc.org, (2014)Development of a Deep Learning Method to Predict Optimal Ablation Patterns for Atrial Fibrillation., , , , , and . CIBCB, page 1-4. IEEE, (2019)A robust quality estimation method for medical image segmentation with small datasets., and . Biomed. Signal Process. Control., (2024)