DIRECT documentation#
DIRECT is a Python, end-to-end pipeline for solving Inverse Problems emerging in medical imaging. It is built with PyTorch and stores state-of-the-art Deep Learning imaging inverse problem solvers such as denoising, dealiasing and reconstruction. By defining a base forward linear or non-linear operator, DIRECT can be used for training models for recovering images such as MRIs from partially observed or noisy input data.
Training and inference
Add more Datasets and Sub-Samplers
Add more Models
Model Zoo
Projects
- Calgary-Campinas challenge
- Deep MRI Reconstruction with Radial Subsampling (SPIE 2022)
- Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction (CVPR 2022)
- Shepp Logan Dataset
- Deep Cardiac MRI Reconstruction with ADMM (CMRxRecon Challenge 2023)
- JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction
API Documentation