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Titlebook: Computational Biomechanics for Medicine; New Approaches and N Barry Doyle,Karol Miller,Poul M.F. Nielsen Conference proceedings 2015 Spring

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發(fā)表于 2025-3-23 13:17:17 | 只看該作者
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Optimization of Acetabulum Reorientation in a Periacetabular Osteotomy by Finite Element Simulation:bular coverage of the femoral head and to reduce contact pressures by reorienting the acetabulum fragment after PAO. The success of PAO significantly depends on the surgeon’s experience. Previously, we have developed a computer-assisted planning and navigation system for PAO, which allows for not on
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發(fā)表于 2025-3-23 20:41:44 | 只看該作者
Vademecums for Real-Time Computational Surgerysional domains, and also their respective post-processing, proper generalized decomposition (PGD) methods have been employed. These allow to express the high-dimensional solution as a finite sum of separable functions, that can be post-processed on-line at tremendously high feedback rates, even on the order of kHz.
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發(fā)表于 2025-3-24 01:53:45 | 只看該作者
test methodologiesand advancements. Thisvolumecomprises twelve of the newest approaches and applications of computational biomechanics, from researchers in Australia, New Zealand, USA, France, Spain and Switzerland. Some of the interesting topics discussed are:real-time simulations; growth and remod
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發(fā)表于 2025-3-24 03:39:50 | 只看該作者
Conference proceedings 2015dologiesand advancements. Thisvolumecomprises twelve of the newest approaches and applications of computational biomechanics, from researchers in Australia, New Zealand, USA, France, Spain and Switzerland. Some of the interesting topics discussed are:real-time simulations; growth and remodelling of
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發(fā)表于 2025-3-25 02:53:14 | 只看該作者
Spatially Weighted Objective Function to Solve the Inverse Elasticity Problem for the Elastic Modulu, we propose to introduce a new formulation of the objective function, where the displacement correlation term is spatially weighted. We refer to this new formulation as the spatially weighted objective function and show that it improves the uniqueness of the inverse problem solution.
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