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Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021

hyrdrodynamics methods for kirchhoff graphs

class definitions and methods for kirchhoff graphs

Repository containing the scripts used in Iglesias-Artola et al 2024. Quantitative imaging of species-specific lipid transport in mammalian cells

PDE inference from limited spatio-temporal data

Implementation of 2D unet. Use as base for user projects.

This repository contains source codes and notebook demos for trainin STENCIL-NET.

Hexagonal spring network with pores are stretched. The resulting stress profile is analyzed. The aim is to verify the hypothesis that in the Zebrafish optic cup, ECM with more pores are under more stress than ECM with less pores.

Supplementary Jupyter notebook to our article "Lgr5+ stem/progenitor cells reside at the apex of the embryonic hepatoblast pool"

Theory analysis and code for studying Drosophila wing disc eversion

Exploring cellpose (deep learning) for segmentation in 2D&3D. Including setup for GPU on cluster or workstation

This is a python implementation of the cycle coalescence algorithm as described by Modes et al, 2016.