Alison L. Marsden
Affiliations: | Engineering Sciences (Mechanical Engineering) | University of California, San Diego, La Jolla, CA |
Area:
Mechanical Engineering, Biomedical Engineering, Biomechanics BiophysicsGoogle:
"Alison Marsden"Parents
Sign in to add mentor| Parviz Moin | grad student | 2005 | Stanford (Meteorology Tree) | |
| (Aerodynamic noise control by optimal shape design.) | ||||
Children
Sign in to add trainee| Weiguang Yang | grad student | 2012 | UCSD |
| Jessica M. Oakes | grad student | 2013 | UCSD |
| Dibyendu Sengupta | grad student | 2013 | UCSD |
| Justin S. Tran | grad student | 2013-2018 | Stanford |
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Publications
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| Shinohara T, Moonen JR, Chun YH, et al. (2024) High Shear Stress Reduces ERG Causing Endothelial-Mesenchymal Transition and Pulmonary Arterial Hypertension. Arteriosclerosis, Thrombosis, and Vascular Biology |
| Rubio NL, Pegolotti L, Pfaller MR, et al. (2024) Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences. Computers in Biology and Medicine. 184: 109420 |
| Menon K, Zanoni A, Khan O, et al. (2024) Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification. Arxiv |
| Menon K, Khan MO, Sexton ZA, et al. (2024) Personalized coronary and myocardial blood flow models incorporating CT perfusion imaging and synthetic vascular trees. Npj Imaging. 2: 9 |
| Brown AL, Sexton ZA, Hu Z, et al. (2024) Computational approaches for mechanobiology in cardiovascular development and diseases. Current Topics in Developmental Biology. 156: 19-50 |
| Shinohara T, Moonen JR, Chun YH, et al. (2024) High Shear Stress Reduces ERG Causing Endothelial-Mesenchymal Transition and Pulmonary Arterial Hypertension. Biorxiv : the Preprint Server For Biology |
| Tran K, Deslarzes-Dubuis C, DeGlise S, et al. (2023) Patient-specific computational flow simulation reveals significant differences in paravisceral aortic hemodynamics between fenestrated and branched endovascular aneurysm repair. Jvs-Vascular Science. 5: 100183 |
| Pegolotti L, Pfaller MR, Rubio NL, et al. (2023) Learning reduced-order models for cardiovascular simulations with graph neural networks. Computers in Biology and Medicine. 168: 107676 |
| Szafron JM, Yang W, Feinstein JA, et al. (2023) A computational growth and remodeling framework for adaptive and maladaptive pulmonary arterial hemodynamics. Biomechanics and Modeling in Mechanobiology |
| Menon K, Khan MO, Sexton ZA, et al. (2023) Personalized coronary and myocardial blood flow models incorporating CT perfusion imaging and synthetic vascular trees. Medrxiv : the Preprint Server For Health Sciences |