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Georgios Kissas
Georgios Kissas
Post Doctoral Fellow, ETH AI Center
Verified email at ai.ethz.ch
Title
Cited by
Cited by
Year
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
G Kissas, Y Yang, E Hwuang, WR Witschey, JA Detre, P Perdikaris
Computer Methods in Applied Mechanics and Engineering 358, 112623, 2020
5782020
Learning operators with coupled attention
G Kissas, JH Seidman, LF Guilhoto, VM Preciado, GJ Pappas, ...
Journal of Machine Learning Research 23 (215), 1-63, 2022
1242022
NOMAD: Nonlinear manifold decoders for operator learning
J Seidman, G Kissas, P Perdikaris, GJ Pappas
Advances in Neural Information Processing Systems 35, 5601-5613, 2022
842022
Scalable uncertainty quantification for deep operator networks using randomized priors
Y Yang, G Kissas, P Perdikaris
Computer Methods in Applied Mechanics and Engineering 399, 115399, 2022
482022
Variational autoencoding neural operators
JH Seidman, G Kissas, GJ Pappas, P Perdikaris
arXiv preprint arXiv:2302.10351, 2023
142023
The language of hyperelastic materials
G Kissas, S Mishra, E Chatzi, L De Lorenzis
Computer Methods in Applied Mechanics and Engineering 428, 117053, 2024
102024
Towards Digital Twins for Cardiovascular Flows: A Hybrid Machine Learning and Computational Fluid Dynamics Approach
G Kissas
University of Pennsylvania, 2023
32023
Fuse: Fast unified simulation and estimation for pdes
LE Lingsch, D Grund, S Mishra, G Kissas
arXiv preprint arXiv:2405.14558, 2024
22024
Feasibility of vascular parameter estimation for assessing hypertensive pregnancy disorders
G Kissas, E Hwuang, EW Thompson, N Schwartz, JA Detre, WR Witschey, ...
Journal of Biomechanical Engineering 144 (12), 121011, 2022
2*2022
An aortic hemodynamic fingerprint reduced order modeling analysis reveals traits associated with vascular disease in a medical biobank
R Sokolow, G Kissas, C Beeche, S Swago, EW Thompson, ...
bioRxiv, 2024.04. 19.590260, 2024
12024
Neuro-Symbolic AI for Analytical Solutions of Differential Equations
O Oikonomou, L Lingsch, D Grund, S Mishra, G Kissas
arXiv preprint arXiv:2502.01476, 2025
2025
Accelerated Patient-Specific Calibration via Differentiable Hemodynamics Simulations
D Renner, G Kissas
arXiv preprint arXiv:2412.14572, 2024
2024
Computer systems and methods for learning operators
PG Perdikaris, GJ Pappas, JH Seidman, G Kissas
US Patent App. 18/092,888, 2023
2023
DIMENSIONALITY REDUCTION IN OPERATOR LEARNING
JH Seidman, G Kissas, GJ Pappas, P Perdikaris
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Articles 1–14