The University of Texas Computational Sensing and Imaging Lab (utcsilab)

The University of Texas Computational Sensing and Imaging Lab

utcsilab

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Home Page:https://users.ece.utexas.edu/~jtamir/csilab.html

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The University of Texas Computational Sensing and Imaging Lab's repositories

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score-based-channels

Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.

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deepinpy

Deep inverse problems in Python

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deep-jsense

Code for Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization

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mri-sim-py

Magnetic Resonance Imaging (MRI) Simulation Code in Python

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t2shuffling-support

Demonstration code for the MRM manuscript, "T2 Shuffling: Sharp, Multi-Contrast, Volumetric Fast Spin-Echo Imaging"

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dictionary_learning_ismrm_2020

Repository for ISMRM 2020 educational session: Step-by-step reconstruction using learned dictionaries

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motion_score_mri

Accelerated motion correction with score-based generative models

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ambient-diffusion-mri

Official Implementation: "Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data"

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score-diffusion-training

Generic PyTorch Pipeline for solving Inverse Problems using Score-based Generative Models

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score-diffusion-sampling

Generic PyTorch Pipeline for solving Inverse Problems using Score-based Generative Models

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physics_based_learning

Learning for computational imaging system made simple.

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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

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mvue-vs-rss-mri

The truth matters: A brief discussion on MVUE vs. RSS in MRI reconstruction

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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.

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ESI_HGE

Implementation of Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference

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mri-sim-py.epg

A GPU-accelerated Extended Phase Graph Algorithm for differentiable optimization and learning

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Nufft_Torch

PyTorch Implementation of NUFFT

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Unrolled_FedLrn

Federated Learning for MR Image Recon

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bart-autodoc

BART automated documentation

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DL_contrast_correction

Deep learning framework to correct synthetic MRI contrasts

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eq-net

Joint High-Dimensional Soft Bit Estimation and Quantization using Deep Learning

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bart-t2sh

bart t2shuffling

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edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

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GsureScore-Diffusion

Official source code for "GSURE Denoising enables training of higher quality generative priors for accelerated Multi-Coil MRI Reconstruction", published in ISMRM.

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wideband-llr-deep

Source code and extended results for "Wideband and Entropy-Aware Deep Soft Bit Quantization"

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