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Quoted phrase not found in phrase index: "Mechanics, Modeling and Simulation of Aortic Dissection"
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Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection.
Ranftl S, Melito GM, Badeli V, Reinbacher-Köstinger A, Ellermann K, von der Linden W. Ranftl S, et al. Entropy (Basel). 2019 Dec 31;22(1):58. doi: 10.3390/e22010058. Entropy (Basel). 2019. PMID: 33285833 Free PMC article.
In 2000, Kennedy and O'Hagan proposed a model for uncertainty quantification that combines data of several levels of sophistication, fidelity, quality, or accuracy, e.g., a coarse and a fine mesh in finite-element simulations. ...We then apply the method to quantify …
In 2000, Kennedy and O'Hagan proposed a model for uncertainty quantification that combines data of several levels of sophistication, …
Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery.
Gsaxner C, Wallner J, Chen X, Zemann W, Egger J. Gsaxner C, et al. Sci Data. 2019 Dec 9;6(1):310. doi: 10.1038/s41597-019-0327-8. Sci Data. 2019. PMID: 31819060 Free PMC article.
Hence, this data set provides a unique collection of head and neck cancer patient PET-CT scans with corresponding 3D models, provided as stereolitography (STL) files. The 3D models are optimized for effective 3D printing at low cost. ...
Hence, this data set provides a unique collection of head and neck cancer patient PET-CT scans with corresponding 3D models, provided …