A Multi-method Approach towards Understanding the Pathophysiology of Aortic Dissections - The Complementary Role of In-Silico, In-Vitro and In-Vivo Information. - Paula A. Rudenick; Maurizio Bordone; Bart H. Bijnens; Eduardo Soudah; Eugenio Oñate; David Garcia-Dorado; Arturo Evangelista (STACOM/CESC, 2010)

In-vitro assessment of flow patterns and velocities in different anatomic configurations of descending chronic aortic dissections. - Paula A. Rudenick; Bart H. Bijnens; David Garcia-Dorado; Arturo Evangelista (ISPA, 2011)

Understanding Hemodynamics and Its Determinant Factors in Type B Aortic Dissections Using an Equivalent Lumped Model. - Paula A. Rudenick; Bart H. Bijnens; Constantine Butakoff; David Garcia-Dorado; Arturo Evangelista (STACOM, 2012)

Hemodynamics in Aortic Regurgitation Simulated Using a Computational Cardiovascular System Model. - Georgina Palau-Caballero; John Walmsley; Paula A. Rudenick; Arturo Evangelista; Joost Lumens; Tammo Delhaas (FIMH, 2015)

Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. - Pamela Franco; Julio Sotelo; Andrea Guala 002; Lydia Dux-Santoy; Arturo Evangelista; José F. Rodríguez Palomares; Domingo Mery; Rodrigo Salas 001; Sergio Uribe (Comput. Biol. Medicine, 2022)