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Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization.

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A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models., , , and . Mach. Vis. Appl., 24 (7): 1421-1434 (2013)A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control., , , , , , , , and . CoRR, (2024)Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization., , , , , , , , and . CoRR, (2023)Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach., , , and . MLMI, volume 7009 of Lecture Notes in Computer Science, page 10-17. Springer, (2011)A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications., , and . ECCV (4), volume 6314 of Lecture Notes in Computer Science, page 666-679. Springer, (2010)Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks., , , , , , , and . CoRR, (2020)Conditional Point Distribution Models., , and . MCV, volume 6533 of Lecture Notes in Computer Science, page 1-10. Springer, (2010)Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning., , , , and . Digital Mammography / IWDM, volume 8539 of Lecture Notes in Computer Science, page 88-94. Springer, (2014)