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Dynamic multi feature-class Gaussian process models., , , , , и . Medical Image Anal., (апреля 2023)Subject-specific shoulder muscle attachment region prediction using statistical shape models: A validity study., , , , , и . EMBC, стр. 1640-1643. IEEE, (2017)Assessment of 3D morphological characteristics of the shoulder bones using statistical shape modeling: Prospective application to handedness., , , , , , и . EMBC, стр. 1629-1632. IEEE, (2017)Dynamic multi feature-class Gaussian process models., , , , , и . CoRR, (2021)Contour detection in synthetic bi-planar X-ray images of the scapula: Towards improved 3D reconstruction using deep learning., , , и . BIBE, стр. 303-307. IEEE, (2020)Interactive patient-specific 3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting., , , , и . EMBC, стр. 1816-1819. IEEE, (2017)Uncertainty Reduction in Contour-Based 3D/2D Registration of Bone Surfaces., , , , , , , , и . ShapeMI@MICCAI, том 12474 из Lecture Notes in Computer Science, стр. 18-29. Springer, (2020)A statistical shape model of the skull developed from a South African population., , , , и . EMBC, стр. 333-336. IEEE, (2017)Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations., , , , , , , , и . CoRR, (2023)Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints., , , , и . CoRR, (2020)