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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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Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging
Sarabian, Mohammad, Babaee, Hessam, Laksari, Kaveh
Published in IEEE transactions on medical imaging (01.09.2022)
Published in IEEE transactions on medical imaging (01.09.2022)
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A comparison of strategies to embed physics-informed neural networks in nonlinear model predictive control formulations solved via direct transcription
Elorza Casas, Carlos Andrés, Ricardez-Sandoval, Luis A., Pulsipher, Joshua L.
Published in Computers & chemical engineering (01.07.2025)
Published in Computers & chemical engineering (01.07.2025)
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Physics-informed neural networks for denoising high b-value diffusion-weighted images
Lin, Qiaoling, Yang, Fan, Yan, Yang, Zhang, Haoyu, Xie, Qing, Zheng, Jiaju, Yang, Wenze, Qian, Ling, Liu, Shaoxing, Yao, Weigen, Qu, Xiaobo
Published in Computerized medical imaging and graphics (01.09.2025)
Published in Computerized medical imaging and graphics (01.09.2025)
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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)
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Published in Computer methods in applied mechanics and engineering (17.09.2019)
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Reliable calibration and validation of phenomenological and hybrid models of high-cell-density fed-batch cultures subject to metabolic overflow
Ibáñez, Francisco, Puentes-Cantor, Hernán, Bárzaga-Martell, Lisbel, Saa, Pedro A., Agosin, Eduardo, Pérez-Correa, José Ricardo
Published in Computers & chemical engineering (01.07.2024)
Published in Computers & chemical engineering (01.07.2024)
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Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks
Caradot, Antoine, Emonet, Rémi, Habrard, Amaury, Mezidi, Abdel-Rahim, Sebban, Marc
Year of Publication 01.04.2025
Year of Publication 01.04.2025
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