We have made the following software available for download and use. Please refer to the respective repositories for more information and documentation.
MR Relaxometry
SUPER-IVIM-DC
Python package for deep-learning-based fitting of the “Intra-Voxel Incoherent Motion” (IVIM) model to multi-b-value diffusion MRI data.
Sample notebook in Google Colab: 
PD-DWI
PD-DWI is a physiologically-decomposed Diffusion-Weighted MRI machine-learning model for predicting response to neoadjuvant chemotherapy in invasive breast cancer.
IVIM-Morph
Self-supervised deep neural network model for motion-corrected quantitative analysis of DWI data using the Intra-voxel Incoherent Motion (IVIM) model.
PCMC-T1
Repository of a physically-constrained deep learning network for motion correction in free-breathing T1 mapping.
AxCorSRMRI
Self-Supervised Realistic Through-Plane MRI Super Resolution from Clinical 2D Axial and Coronal Acquisition.