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Generalization of geometrical flux maximizing flow on Riemannian manifolds for improved volumetric blood vessel segmentation., , и . Comput. Medical Imaging Graph., 36 (6): 474-483 (2012)An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation., , , и . CoRR, (2024)Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions., , , , и . MICCAI (3), том 9902 из Lecture Notes in Computer Science, стр. 291-299. (2016)Deep learning with visual explanation for radiotherapy-induced toxicity prediction., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution., , , и . AE-CAI, том 8090 из Lecture Notes in Computer Science, стр. 144-152. Springer, (2013)Direct Estimation of Wall Shear Stress from Aneurysmal Morphology: A Statistical Approach., , , , и . MICCAI (3), том 9902 из Lecture Notes in Computer Science, стр. 201-209. (2016)A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes., , , , и . MICCAI (3), том 9902 из Lecture Notes in Computer Science, стр. 142-149. (2016)Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction., , , , и . STACOM@MICCAI, том 9534 из Lecture Notes in Computer Science, стр. 171-179. Springer, (2015)Application of trace-norm and low-rank matrix decomposition for computational anatomy., , , , и . CVPR Workshops, стр. 146-153. IEEE Computer Society, (2010)Reconstruction of coronary artery centrelines from X-ray rotational angiography using a probabilistic mixture model., , и . Medical Imaging: Image Processing, том 9784 из SPIE Proceedings, стр. 97843A. SPIE, (2016)