Amirhossein Arzani

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SLE-FNO: Single-Layer Extensions for Task-Agnostic Continual Learning in Fourier Neural Operators. CoRR Mahmoud Elhadidy, Roshan M. D'Souza, Amirhossein Arzani
2026	J	`jnl`	Symbolic-KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning. CoRR Salah A. Faroughi, Farinaz Mostajeran, Amirhossein Arzani, Shirko Faroughi
2025	J	`jnl`	Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling. CoRR Siva Viknesh, Amirhossein Arzani
2025	J	`jnl`	Input parameterized physics informed neural networks for de noising, super-resolution, and imaging artifact mitigation in time resolved three dimensional phase-contrast magnetic resonance imaging. Eng. Appl. Artif. Intell. Amin Pashaei Kalajahi, Hunor Csala, Zayeed Bin Mamun, Sangeeta Yadav, Omid Amili, Amirhossein Arzani, Roshan M. D'Souza
2025	J	`jnl`	Interpreting and generalizing deep learning in physics-based problems with functional linear models. Eng. Comput. Amirhossein Arzani, Lingxiao Yuan, Pania Newell, Bei Wang
2025	J	`jnl`	Physics-constrained coupled neural differential equations for one dimensional blood flow modeling. Comput. Biol. Medicine Hunor Csala, Arvind T. Mohan, Daniel Livescu, Amirhossein Arzani
2024	J	`jnl`	ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification. CoRR Siva Viknesh, Younes Tatari, Amirhossein Arzani
2024	J	`jnl`	Physics-constrained coupled neural differential equations for one dimensional blood flow modeling. CoRR Hunor Csala, Arvind T. Mohan, Daniel Livescu, Amirhossein Arzani
2023	J	`jnl`	Interpreting and generalizing deep learning in physics-based problems with functional linear models. CoRR Amirhossein Arzani, Lingxiao Yuan, Pania Newell, Bei Wang
2023	J	`jnl`	Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation. J. Comput. Phys. Amirhossein Arzani, Kevin W. Cassel, Roshan M. D'Souza
2021	J	`jnl`	Integrating multi-fidelity blood flow data with reduced-order data assimilation. Comput. Biol. Medicine Milad Habibi, Roshan M. D'Souza, Scott T. M. Dawson, Amirhossein Arzani
2020	J	`jnl`	Particle transport and deposition correlation with near-wall flow characteristic under inspiratory airflow in lung airways. Comput. Biol. Medicine Ali Farghadan, Kamran Poorbahrami, Sahar Jalal, Jessica M. Oakes, Filippo Coletti, Amirhossein Arzani
2020	J	`jnl`	Super-resolution and denoising of 4D-Flow MRI using physics-Informed deep neural nets. Comput. Methods Programs Biomed. Mojtaba F. Fathi, Isaac Perez-Raya, Ahmadreza Baghaie, Philipp Berg, Gábor Janiga, Amirhossein Arzani, Roshan M. D'Souza
2019	J	`jnl`	Topological analysis of particle transport in lung airways: Predicting particle source and destination. Comput. Biol. Medicine Ali Farghadan, Filippo Coletti, Amirhossein Arzani