Topological analysis of particle transport in lung airways: Predicting particle source and destination. - Ali Farghadan; Filippo Coletti; Amirhossein Arzani (Comput. Biol. Medicine, 2019)

Particle transport and deposition correlation with near-wall flow characteristic under inspiratory airflow in lung airways. - Ali Farghadan; Kamran Poorbahrami; Sahar Jalal; Jessica M. Oakes; Filippo Coletti; Amirhossein Arzani (Comput. Biol. Medicine, 2020)

Super-resolution and denoising of 4D-Flow MRI using physics-Informed deep neural nets. - Mojtaba F. Fathi; Isaac Perez-Raya; Ahmadreza Baghaie; Philipp Berg; Gábor Janiga; Amirhossein Arzani; Roshan M. D'Souza (Comput. Methods Programs Biomed., 2020)

Integrating multi-fidelity blood flow data with reduced-order data assimilation. - Milad Habibi; Roshan M. D'Souza; Scott T. M. Dawson; Amirhossein Arzani (Comput. Biol. Medicine, 2021)

Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation. - Amirhossein Arzani; Kevin W. Cassel; Roshan M. D'Souza (J. Comput. Phys., 2023)

ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification. - Siva Viknesh; Younes Tatari; Amirhossein Arzani (CoRR, 2024)

Physics-constrained coupled neural differential equations for one dimensional blood flow modeling. - Hunor Csala; Arvind T. Mohan; Daniel Livescu; Amirhossein Arzani (Comput. Biol. Medicine, 2025)

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. - Amin Pashaei Kalajahi; Hunor Csala; Zayeed Bin Mamun; Sangeeta Yadav; Omid Amili; Amirhossein Arzani; Roshan M. D'Souza (Eng. Appl. Artif. Intell., 2025)

Interpreting and generalizing deep learning in physics-based problems with functional linear models. - Amirhossein Arzani; Lingxiao Yuan; Pania Newell; Bei Wang 001 (Eng. Comput., 2025)