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Assessment of 3D morphological characteristics of the shoulder bones using statistical shape modeling: Prospective application to handedness., , , , , , and . EMBC, page 1629-1632. IEEE, (2017)Cross-Modality Image Adaptation Based on Volumetric Intensity Gaussian Process Models (VIGPM)., , , , and . EMBC, page 2101-2104. IEEE, (2022)Statistical shape-kinematics models of the skeletal joints: Application to the shoulder complex., , , , , and . EMBC, page 4815-4818. IEEE, (2019)Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints., , , , and . CoRR, (2020)A Gaussian Process Model Based Generative Framework for Data Augmentation of Multi-modal 3D Image Volumes., , , , , and . SASHIMI@MICCAI, volume 12417 of Lecture Notes in Computer Science, page 90-100. Springer, (2020)Dynamic Multi-object Gaussian Process Models., , , , and . MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 755-764. Springer, (2020)Dynamic multi feature-class Gaussian process models., , , , , and . Medical Image Anal., (April 2023)Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images. (Vers un framework pour la modélisation statistique multi-classes de la forme, de l'intensité et de la cinématique dans les images médicales).. University of Cape Town, South Africa, (2021)Fully automated workflow for the design of patient-specific orthopaedic implants: application to total knee arthroplasty., , , , , , , , and . CoRR, (2024)Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey., , , , , and . Sensors, 23 (4): 2362 (February 2023)