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Aorta segmentation with a 3D level set approach and quantification of aortic calcifications in non-contrast chest CT.

, , , and . EMBC, page 2343-2346. IEEE, (2012)

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Aorta segmentation with a 3D level set approach and quantification of aortic calcifications in non-contrast chest CT., , , and . EMBC, page 2343-2346. IEEE, (2012)Emphysema classification based on embedded probabilistic PCA., , , , and . EMBC, page 3969-3972. IEEE, (2013)Weakly Supervised Segmentation by a Deep Geodesic Prior., , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 238-246. Springer, (2019)Self Supervised Denoising Diffusion Probabilistic Models for Abdominal DW-MRI., , and . CDMRI@MICCAI, volume 14328 of Lecture Notes in Computer Science, page 80-91. Springer, (2023)3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models., , , and . ISBI, page 444-447. IEEE, (2010)Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation., , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 83-91. Springer, (2018)Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices., , , , and . CMMI/RAMBO/SWITCH@MICCAI, volume 10555 of Lecture Notes in Computer Science, page 75-85. Springer, (2017)Ranking and classification of monotonic emphysema patterns with a multi-class hierarchical approach., , and . ISBI, page 1031-1034. IEEE, (2014)SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction., , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 1268-1284. PMLR, (2022)3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities., , , , , and . CBMS, page 166-171. IEEE, (2021)