The University of Texas Computational Sensing and Imaging Lab's repositories
score-based-channels
Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.
deep-jsense
Code for Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
mri-sim-py
Magnetic Resonance Imaging (MRI) Simulation Code in Python
t2shuffling-support
Demonstration code for the MRM manuscript, "T2 Shuffling: Sharp, Multi-Contrast, Volumetric Fast Spin-Echo Imaging"
motion_score_mri
Accelerated motion correction with score-based generative models
ambient-diffusion-mri
Official Implementation: "Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data"
score-diffusion-training
Generic PyTorch Pipeline for solving Inverse Problems using Score-based Generative Models
score-diffusion-sampling
Generic PyTorch Pipeline for solving Inverse Problems using Score-based Generative Models
physics_based_learning
Learning for computational imaging system made simple.
bloch-simulator-python
The original bloch equation simulator was a Matlab mex file created by Brian Hargreaves at Stanford University. This modification to run it as a Python C extension
mvue-vs-rss-mri
The truth matters: A brief discussion on MVUE vs. RSS in MRI reconstruction
SureScore-Diffusion
Official source code for "Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data", published in IEEE Asilomar Conference on Signals, Systems & Computers.
mri-sim-py.epg
A GPU-accelerated Extended Phase Graph Algorithm for differentiable optimization and learning
Nufft_Torch
PyTorch Implementation of NUFFT
Unrolled_FedLrn
Federated Learning for MR Image Recon
bart-autodoc
BART automated documentation
DL_contrast_correction
Deep learning framework to correct synthetic MRI contrasts
edm
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
GsureScore-Diffusion
Official source code for "GSURE Denoising enables training of higher quality generative priors for accelerated Multi-Coil MRI Reconstruction", published in ISMRM.
wideband-llr-deep
Source code and extended results for "Wideband and Entropy-Aware Deep Soft Bit Quantization"