Implicit Geometric Regularization for Learning Shapes

Script for analyzing 2D phase contrast mapping (PCM) MRI data to measure trough-plane flow.

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Source codes of the OpenFOAM internship.

Calculate signed distance fields for arbitrary meshes

Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms

This repository contains the classes and dictionaries defined during my master thesis that simulated blood flow on a c++ based CFD solver called openFOAM. The thesis is titled "Blood flow in dissec…

Runge-Kutta based symmetry-preserving solver for OpenFOAM

Deep reinforcement learning with OpenFOAM

Awesome resources for artificial intelligence in cardiology

Port of cgnsToFoam from TurbMachinery SIG to OpenFOAM 5.x and newer

Image2Flow: Fast calculation of pulmonary artery flow fields directly from 3D cardiac MRI using graph convolutional neural networks

svMultiPhysics is an open-source, parallel, finite element multi-physics solver.

This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube

Immersed boundary - Fluid Structure Interaction solver with heat transfer

A python toolset to augment RANS models with LES/DNS data, using Random or Mondrian forests.

FEM2D: Thermal convection problems using Triangular Elements. See Toni Susin's 'Numerical Factory'

📈 poissonpy is a Python Poisson Equation library for scientific computing, image and video processing, and computer graphics.

Python application of the Immersed Boundary Method

Immersed boundary method empowered by signed distance field, and OpenFOAM.

The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an efficient method using physics-informed neural networks (PI…

Code and data in support of publication on Cardiac PINN

[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging

Transfer learning on PINNs for tracking hemodynamics

A differentiable PDE solving framework for machine learning