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Class-Aware Adversarial Lung Nodule Synthesis In CT Images.

, , , , , , , , , и . ISBI, стр. 1348-1352. IEEE, (2019)

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Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels., , , , , , и . CoRR, (2019)Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest., и . MICCAI (2), том 8674 из Lecture Notes in Computer Science, стр. 17-24. Springer, (2014)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)Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation., , , , и . Bildverarbeitung für die Medizin, стр. 288. Springer, (2021)Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models., , , , , , , , , и 2 other автор(ы). STACOM, том 8896 из Lecture Notes in Computer Science, стр. 239-248. Springer, (2014)Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment., , , , , , , , и . MICCAI (6), том 11769 из Lecture Notes in Computer Science, стр. 676-684. Springer, (2019)Class-Aware Adversarial Lung Nodule Synthesis In CT Images., , , , , , , , , и . ISBI, стр. 1348-1352. IEEE, (2019)Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images., , , , , , , и . CoRR, (2020)Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans., , , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 41 (1): 176-189 (2019)Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images., , , , , , , , и . DLMIA/ML-CDS@MICCAI, том 11045 из Lecture Notes in Computer Science, стр. 254-262. Springer, (2018)