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Browsing Faculty of Education & Health Sciences by Subject "uncertainty quantification."

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Browsing Faculty of Education & Health Sciences by Subject "uncertainty quantification."

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  • Valen_Sendstad, Kristian; Bergersen, Aslak W.; Shimogonya, Yugi; Goubergrits, Leonid; Bruening, Jan; Pallares, Jordi; Cito, Salvatore; Piskin, Senol; Pekkan, Kerem; Geers, Ardan J.; Larrabide, Ignacio; Rapaka, Saikiran; Mihalef, Viorel; Fu, Wenyu; Qiao, Aike; Jain, Kartik; Roller, Sabine; Mardal, Kent-Andre; Kamokoti, Ramji; Spirka, Thomas; Ashton, Neil; Revell, Alistair; Aristokleous, Nicolas; Houston, Graeme J; Tsuji, Masanori; Ishida, Fujimaro; Menon, Prahlad G.; Browne, Leonard D.; Broderick, Stephen; Shojima, Masaaki; Koizumi, Satoshi; Barbour, Michael; Aliseda, Alberto; Morales, Hernán G.; Lefèvre, Thierry; Hodis, Simona; Al-Smadi, Yahia; Tran, Justin S.; Marsden, Alison L.; Vaippummadhom, Sreeja; Einstein, Albert G.; Brown, Alistair G; Debus, Kristian; Niizuma, Kuniyasu; Rashad, Sherif; Sugiyama, Shin-Ichiro; Khan, Owais M.; Updegrove, Adam R.; Shadden, Shawn C.; Cornelissen, Bart M.W.; Majoie, Charles B.L.M.; Berg, Philip; Saalfield, Sylvia; Kono, Kenichi; Steinman, David A. (Springer, 2018)
    Purpose—Image-based computational fluid dynamics (CFD) is widely used to predict intracranial aneurysm wall shear stress (WSS), particularly with the goal of improving rupture risk assessment. Nevertheless, concern has ...

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