Starred repositories
A Numerical Magnetic Resonance Imaging (MRI) Simulation Platform
Graphical simulation of NMR Bloch equations written in 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
Open-source minimal echo time sequences for reproducible MRI
This is a collection of various Pulseq tutorials, which is supposed to grow in future
Materials for the Ph.D. Training program of the German Chapter of the ISMRM and beyond
Compressed sensing with deep image prior algorithm
Truncated Residual Based Plug-and-Play ADMM Algorithm for MRI Reconstruction
Python package for signal processing, with emphasis on iterative methods
Python implementations of GRAPPA-like algorithms.
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
Plug-and-Play ADMM for MRI Reconstruction with Convex Nonconvex Sparse regularization
Fourier Convolution Block with global receptive field for MRI reconstruction pytorch
Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)
beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
Implementation for Proximal Neural Networks.
[ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Scaled plug-and-play ADMM and FISTA algorithms using NLM denoiser with convergence guarantees
Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Code for “MD-Recon-Net: A Parallel Dual-Domain Convolutional Neural Network for Compressed Sensing MRI”