amir-cardiolab

amir-cardiolab's repositories

Python for Scientific Computing (FEniCS, PyTorch, VTK)

Language:Python9700

Machine learning methods for improving corrupt 4D flow data

Language:PythonGPL-3.0100

BC-PINN - Solving inverse problems with pressure data

Language:Python000

Interpretable operator learning and posthoc/by-design XAI

Language:MATLAB000

Language:Python800

PINN for obtaining WSS from sparse data

Language:Python4900

Language:PythonLGPL-2.1100

Ensembe PINN for improved inverse modeling

Language:PythonGPL-3.0400

Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation

Language:Python1100

Multiscale modeling of cardiovascular disease growth coupling organ-scale mechanics and cell-scale biology

Language:PythonLGPL-2.1100

Advection-diffusion-reaction mass transport FEniCS codes for solving various biochemicals/cells in blood flow and atherosclerosis

Language:PythonLGPL-2.1100

Matlab software for semi-automated quantitative analysis of coronary artery vulnerable plaque biomarkers from CTA image data

Language:PythonLGPL-2.1400

Language:Python2500

Data-driven cardiovascular flow modeling: examples and opportunities

Language:MATLABLGPL-2.1900

Language:MATLABLGPL-2.1100

Examples implementing physics-informed neural networks (PINN) in Pytorch

Language:Python4300

Language:PythonLGPL-2.1400