Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Kissas, Georgios, Yang, Yibo, Hwuang, Eileen, Witschey, Walter R., Detre, John A., Perdikaris, Paris
Published in Computer methods in applied mechanics and engineering (01.01.2020)
Published in Computer methods in applied mechanics and engineering (01.01.2020)
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Journal Article
The language of hyperelastic materials
Kissas, Georgios, Mishra, Siddhartha, Chatzi, Eleni, De Lorenzis, Laura
Published in Computer methods in applied mechanics and engineering (01.08.2024)
Published in Computer methods in applied mechanics and engineering (01.08.2024)
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Journal Article
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Kissas, Georgios, Yang, Yibo, Hwuang, Eileen, Witschey, Walter R., Detre, John A., Perdikaris, Paris
Published in Computer methods in applied mechanics and engineering (17.09.2019)
Get full text
Published in Computer methods in applied mechanics and engineering (17.09.2019)
Journal Article
Feasibility of Vascular Parameter Estimation for Assessing Hypertensive Pregnancy Disorders
Kissas, Georgios, Hwuang, Eileen, Thompson, Elizabeth W, Schwartz, Nadav, Detre, John A, Witschey, Walter R, Perdikaris, Paris
Published in Journal of biomechanical engineering (01.12.2022)
Published in Journal of biomechanical engineering (01.12.2022)
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Journal Article
The Language of Hyperelastic Materials
Kissas, Georgios, Mishra, Siddhartha, Chatzi, Eleni, De Lorenzis, Laura
Year of Publication 24.01.2024
Year of Publication 24.01.2024
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Journal Article
Variational Autoencoding Neural Operators
Seidman, Jacob H, Kissas, Georgios, Pappas, George J, Perdikaris, Paris
Year of Publication 20.02.2023
Year of Publication 20.02.2023
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Journal Article
NOMAD: Nonlinear Manifold Decoders for Operator Learning
Seidman, Jacob H, Kissas, Georgios, Perdikaris, Paris, Pappas, George J
Year of Publication 07.06.2022
Year of Publication 07.06.2022
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Journal Article
FUSE: Fast Unified Simulation and Estimation for PDEs
Lingsch, Levi E, Grund, Dana, Mishra, Siddhartha, Kissas, Georgios
Published in arXiv.org (05.11.2024)
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Published in arXiv.org (05.11.2024)
Paper
Learning Operators with Coupled Attention
Kissas, Georgios, Seidman, Jacob, Guilhoto, Leonardo Ferreira, Preciado, Victor M, Pappas, George J, Perdikaris, Paris
Year of Publication 04.01.2022
Year of Publication 04.01.2022
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Journal Article
The Language of Hyperelastic Materials
Kissas, Georgios, Mishra, Siddhartha, Chatzi, Eleni, De Lorenzis, Laura
Published in arXiv.org (08.02.2024)
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Published in arXiv.org (08.02.2024)
Paper
Variational Autoencoding Neural Operators
Seidman, Jacob H, Kissas, Georgios, Pappas, George J, Perdikaris, Paris
Published in arXiv.org (20.02.2023)
Get full text
Published in arXiv.org (20.02.2023)
Paper
NOMAD: Nonlinear Manifold Decoders for Operator Learning
Seidman, Jacob H, Kissas, Georgios, Perdikaris, Paris, Pappas, George J
Published in arXiv.org (07.06.2022)
Get full text
Published in arXiv.org (07.06.2022)
Paper
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Kissas, Georgios, Yang, Yibo, Hwuang, Eileen, Witschey, Walter R, Detre, John A, Perdikaris, Paris
Published in arXiv.org (17.09.2019)
Published in arXiv.org (17.09.2019)
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Paper
Journal Article
COMPUTER SYSTEMS AND METHODS FOR LEARNING OPERATORS
Seidman, Jacob Hugh, Perdikaris, Paris Georgios, Pappas, George J, Kissas, Georgios
Year of Publication 06.07.2023
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Year of Publication 06.07.2023
Patent
Learning Operators with Coupled Attention
Kissas, Georgios, Seidman, Jacob, Leonardo Ferreira Guilhoto, Preciado, Victor M, Pappas, George J, Perdikaris, Paris
Published in arXiv.org (04.01.2022)
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Published in arXiv.org (04.01.2022)
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