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Cine and Multicontrast Late Enhanced MRI Registration for 3D Heart Model Construction.

, , , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 49-57. Springer, (2018)

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Adjustment of Parameters in Ionic Models Using Optimal Control Problems., , , and . FIMH, volume 10263 of Lecture Notes in Computer Science, page 322-332. Springer, (2017)Cine and Multicontrast Late Enhanced MRI Registration for 3D Heart Model Construction., , , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 49-57. Springer, (2018)Outcome Prediction., , , , , and . AI and Big Data in Cardiology, Springer International Publishing, (2023)The Extent of LGE-Defined Fibrosis Predicts Ventricular Arrhythmia Severity: Insights from a Preclinical Model of Chronic Infarction., , , , , , , and . FIMH, volume 13958 of Lecture Notes in Computer Science, page 698-707. Springer, (2023)A Pre-clinical Framework to Characterize Peri-infarct Remodelling Using in vivo T1 Maps and CARTO Data., , , , , , , , , and 1 other author(s). STACOM, volume 7746 of Lecture Notes in Computer Science, page 326-335. Springer, (2012)Postinfarction Ventricular Tachycardia Substrate Characterization: A Comparison Between Late Enhancement Magnetic Resonance Imaging and Voltage Mapping Using an MR-Guided Electrophysiology System., , , , , , , , , and . IEEE Trans. Biomed. Eng., 60 (9): 2442-2449 (2013)In Vivo Parametric T1 Maps Correlate with Structural and Molecular Characteristics of Focal Fibrosis., , , , and . FIMH, volume 10263 of Lecture Notes in Computer Science, page 13-22. Springer, (2017)APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics., , , , and . STACOM@MICCAI, volume 13593 of Lecture Notes in Computer Science, page 190-199. Springer, (2022)Deep Learning-Based MR Image Re-parameterization., , , and . CoRR, (2022)Novel atlas of fiber directions built from ex-vivo diffusion tensor images of porcine hearts., , , and . Comput. Methods Programs Biomed., (2020)