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Ainhoa M. Aguado
Ainhoa M. Aguado
Unknown affiliation
Verified email at upf.edu
Title
Cited by
Cited by
Year
In silico optimization of left atrial appendage occluder implantation using interactive and modeling tools
AM Aguado, AL Olivares, C Yagüe, E Silva, M Nuñez-García, ...
Frontiers in physiology, 237, 2019
732019
Machine-learning–based exploration to identify remodeling patterns associated with death or heart-transplant in pediatric-dilated cardiomyopathy
P Garcia-Canadilla, S Sanchez-Martinez, PM Martí-Castellote, C Slorach, ...
The Journal of Heart and Lung Transplantation 41 (4), 516-526, 2022
182022
VRIDAA: Virtual Reality Platform for Training and Planning Implantations of Occluder Devices in Left Atrial Appendages.
E Medina, A Aguado, J Mill, X Freixa, D Arzamendi, C Yagüe, O Camara
VCBM, 31-35, 2020
72020
Centreline-based shape descriptors of the left atrial appendage in relation with thrombus formation
I Genua, AL Olivares, E Silva, J Mill, A Fernandez, A Aguado, ...
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
62019
Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions
J Mill, H Montoliu, AH Moustafa, AL Olivares, C Albors, AM Aguado, ...
International journal of bioprinting 9 (1), 2023
32023
Joint analysis of personalized in-silico haemodynamics and shape descriptors of the left atrial appendage
J Mill, AL Olivares, E Silva, I Genua, A Fernandez, A Aguado, ...
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
22019
Domain expert evaluation of advanced visual computing solutions for the planning of left atrial appendage occluder interventions
J Mill, H Montoliu, AH Moustafa, AL Olivares, C Albors, A Aguado, ...
medRxiv, 2022.04. 11.22273553, 2022
12022
Are young researchers trained to avoid most common biases? Guidelines for first research works.
AM Aguado, E Medina, M Mejia, J Prats
Meta Research, 36, 2020
2020
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Articles 1–8