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Assessment of shape-based features ability to predict the a..:

Geronzi, Leonardo ; Haigron, Pascal ; Martinez, Antonio...
info:eu-repo/semantics/altIdentifier/doi/10.3389/fphys.2023.1125931. , 2023

Link: https://hal.science/hal-04060967

RT Journal
T1 <Title>Assessment of shape-based features ability to predict the ascending aortic aneurysm growth</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftccsdartic:oai:HAL:hal-04060967v1&Exemplar=1&LAN=DE
				
A1 Geronzi, Leonardo
A1 Haigron, Pascal
A1 Martinez, Antonio
A1 Yan, Kexin
A1 Rochette, Michel
A1 Bel-Brunon, Aline
A1 Porterie, Jean
A1 Lin, Siyu
A1 Marin-Castrillon, Diana Marcela
A1 Lalande, Alain
A1 Bouchot, Olivier
A1 Daniel, Morgan
A1 Escrig, Pierre
A1 Tomasi, Jacques
A1 Valentini, Pier Paolo
A1 Biancolini, Marco, Evangelos
PB HAL CCSD; Frontiers
YR 2023
K1 aorta
K1 ascending aorta aneurysm
K1 biomechanical features
K1 cardiovascular diseases
K1 classification
K1 growth rate
K1 machine learning
K1 risk assessment
K1 [SDV.IB]Life Sciences [q-bio]/Bioengineering
K1 [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]
JF info:eu-repo/semantics/altIdentifier/doi/10.3389/fphys.2023.1125931
LK http://dx.doi.org/https://hal.science/hal-04060967
DO https://hal.science/hal-04060967
SF ELIB - SuUB Bremen

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