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Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014; 17th International C Polina Golland,Nobuhiko Hata,Robert Howe Con

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Robust Image-Based Estimation of Cardiac Tissue Parameters and Their Uncertainty from Noisy Data a fast surrogate model based on Polynomial Chaos Expansion, instead of the true forward model. Then, we use the mean-shift algorithm to automatically find the modes of the PDF and select the most likely one while being robust to noise. The approach is used to estimate global active stress and passi
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Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinunctions were also performed. From the experimental results on eight patient data sets, the recall, precision, and relative volume difference (RVD) between predicted and measured tumor volumes are 84.85±6.15%, 87.08±7.83%, and 13.81±6.64% respectively.
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Atlas-Based Transfer of Boundary Conditions for Biomechanical Simulation the information stored in the atlas to a specific patient, the atlas is registered to the patient data using a physics-based technique and the resulting boundary conditions are defined according to the mean position and variance available in the atlas. The method is evaluated using abdominal scans
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Introducing Interactive Inverse FEM Simulation and Its Application for Adaptive Radiotherapyand neck cancer. Radiotherapy treatment induces weight loss that modifies the shape and the positions of these structures and they eventually intersect the target volume. We show how we could adapt the planning to limit the radiation of these glands.
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Alessio Montuoro,Jing Wu,Sebastian Waldstein,Bianca Gerendas,Georg Langs,Christian Simader,Ursula Scings and acts independently without central coordination or communication with other agents. We apply our hybrid rectabout maneuver to WowWee Rovio mobile robots and provide both analytic and empirical results to show that our fully decentralized, non-communicative and distributed approach generates collision-free motions.
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