4 papers
Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting Hemodynamics
Mahmoud Elhadidy, Roshan M. D'Souza, Amirhossein Arzani
Sparse-view computed tomography (CT) reduces the number of acquired projections, but conventional sampling strategies are designed primarily for image reconstruction rather than fo…
Wall Shear Stress Reconstruction from Concentration: Differentiable Physics and Physics-Informed Neural Networks
Mahmoud Elhadidy, Siva Viknesh, Roshan M. D'Souza +1
Wall shear stress (WSS) governs near-wall transport dynamics and is a key hemodynamic indicator in cardiovascular flows, yet remains difficult to infer accurately due to the need f…
VASTO: Simultaneous recovery of vascular geometry and blood flow via differentiable topology optimization
Pramod Thombre, Rahul Kumar Padhy, Roshan M. D'Souza +1
Computed Tomography Angiography (CTA) is widely used to reconstruct vascular geometry from projection measurements, with conventional approaches such as Filtered Back-Projection (F…
SLE-FNO: Single-Layer Extensions for Task-Agnostic Continual Learning in Fourier Neural Operators
Mahmoud Elhadidy, Roshan M. D'Souza, Amirhossein Arzani
Scientific machine learning is increasingly used to build surrogate models, yet most models are trained under a restrictive assumption in which future data follow the same distribu…