3D image registration training framework using adaptive loss weighting and synthetic data generation
-
Updated
May 21, 2024 - Python
3D image registration training framework using adaptive loss weighting and synthetic data generation
Multi-Architecture Coupled Ensemble Physics-Informed Neural Networks (MACE-PINN) for solving coupled partial differential equations. Implements parallel subnetworks with Fourier embeddings and adaptive loss weighting for Gray-Scott and Ginzburg-Landau reaction-diffusion systems.
Add a description, image, and links to the adaptive-loss topic page so that developers can more easily learn about it.
To associate your repository with the adaptive-loss topic, visit your repo's landing page and select "manage topics."