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Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences., , , , , , and . IEEE Trans. Medical Imaging, 42 (2): 403-415 (February 2023)Subject specific, image based analysis and modeling in patients with atrial fibrillation from MRI., , , , , , , and . ISBI, page 1364. IEEE, (2012)Electrocardiographic Comparison of Dobutamine and Bruce Cardiac Stress Testing With High Resolution Mapping in Experimental Models., , , , , and . CinC, page 1-4. www.cinc.org, (2018)A Cardiac Shape Model for Segmentation Uncertainty Quantification., , , , , , and . CinC, page 1-4. IEEE, (2021)Novel Biomarker for Evaluating Ischemic Stress Using an Electrogram Derived Phase Space., , , , and . CinC, www.cinc.org, (2016)The Consortium on Electrocardiographic Imaging., , , , , , , , , and 1 other author(s). CinC, www.cinc.org, (2016)The Role of Beta-1 Receptors in the Response to Myocardial Ischemia., , , , and . CinC, page 1-4. IEEE, (2022)Unexpected Errors in the Electrocardiographic Forward Problem., , , , and . CinC, page 1-4. IEEE, (2022)Deep Learning Based Prediction of Atrial Fibrillation Disease Progression with Endocardial Electrograms in a Canine Model., , , , , and . CinC, page 1-3. IEEE, (2020)Uncertainty Quantification of the Effects of Segmentation Variability in ECGI., , , , , , , and . FIMH, volume 12738 of Lecture Notes in Computer Science, page 515-522. Springer, (2021)