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Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data., , , , , , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 238-245. (2016)Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning., , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 185-193. Springer, (2015)MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction., , , , , , and . ML4MHD, volume 14315 of Lecture Notes in Computer Science, page 141-154. Springer, (2023)An algorithm for fully automatic detection of calcium in chest CT imaging., , , , and . ISBI, page 265-269. IEEE, (2017)Automatic detection of aortic dissection in contrast-enhanced CT., , and . ISBI, page 557-560. IEEE, (2017)Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation., , , , and . ISBI, page 1183-1187. IEEE, (2020)A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs., , , , , , , , , and 3 other author(s). ISBI, page 1851-1855. IEEE, (2020)Multimodal Fusion Using Sparse Cca For Breast Cancer Survival Prediction., , and . ISBI, page 1429-1432. IEEE, (2021)Automatic estimation of left ventricular dysfunction from echocardiogram videos., , , , and . CVPR Workshops, page 164-171. IEEE Computer Society, (2009)Multi-atlas Segmentation with Learning-Based Label Fusion., , and . MLMI, volume 8679 of Lecture Notes in Computer Science, page 256-263. Springer, (2014)