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Uncertainty Estimation for Heatmap-based Landmark Localization., , and . CoRR, (2022)Confidence-Quantifying Landmark Localisation For Cardiac MRI., , , , and . ISBI, page 985-988. IEEE, (2021)Myocardial inflammation and energetics by cardiac MRI: a review of emerging techniques., , , , , , , , , and 7 other author(s). BMC Medical Imaging, 21 (1): 164 (2021)An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model., , , , , , and . IEEE Trans. Med. Imaging, 35 (3): 845-859 (2016)DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays., , , , , , , , and . CoRR, (2021)Uncertainty Estimation for Heatmap-Based Landmark Localization., , and . IEEE Trans. Medical Imaging, 42 (4): 1021-1034 (April 2023)Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar., , , , , , and . Artif. Intell. Medicine, (September 2023)Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension., , , , and . BIBM, page 2704-2710. IEEE, (2022)Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI., , , , , , and . MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 206-215. Springer, (2023)Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling., , , , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 98-109. Springer, (2015)