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Fully automated workflow for the design of patient-specific orthopaedic implants: application to total knee arthroplasty
The workflow accuracy was $0. 4\pm0. 2mm$ for the segmentation, $1. 2\pm0. 4mm$ for the full bones reconstruction, and $2. 8\pm2. 2mm$ for the anatomical landmarks determination.
Regularized directional representations for medical image registration
In image registration, many efforts have been devoted to the development of alternatives to the popular normalized mutual information criterion.
Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur
The aim of this research is therefore to assess the impact of the number, the position, and the accuracy of the landmarks for the reconstruction of the femur and the determination of its related mechanical axis, an important clinical parameter to consider for the lower limb analysis.
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