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Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest.

, and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 17-24. Springer, (2014)

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Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest., and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 17-24. Springer, (2014)No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks., , , , , , and . IEEE Trans. Medical Imaging, 40 (1): 335-345 (2021)Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment., , , , , , , , , and 4 other author(s). CoRR, (2020)Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels., , , , , , and . CoRR, (2019)Advanced Valve Modeling and Multi-Modal Fusion for Minimally Invasive Valve Procedures (Fortgeschrittene Herzklappenmodellierung und multi-modale Fusion für minimal-invasive Herzklappenbehandlungen). Technical University of Munich, Germany, (2015)Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment., , , , , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 676-684. Springer, (2019)Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models., , , , , , , , , and 2 other author(s). STACOM, volume 8896 of Lecture Notes in Computer Science, page 239-248. Springer, (2014)Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation., , , , and . Bildverarbeitung für die Medizin, page 288. Springer, (2021)Quantifying and leveraging predictive uncertainty for medical image assessment., , , , , , , , , and 4 other author(s). Medical Image Anal., (2021)Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge., , , , , , , , , and 1 other author(s). CoRR, (2023)