fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images.

Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,

Prompting for Dynamic and Multi-Contrast MRI Reconstruction

[TMI 2024] "High-Frequency Space Diffusion Model for Accelerated MRI"

Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization

Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction

Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).

i-RIM applied to the fastMRI challenge data.

Code for cracking the fastMRI challenge.

Official implementation of SwinGANMR

[FastMRI Challenge] E2E-VarNet + RCAN Combination for MRI Reconstruction

A dynamic attentive graph model for cardiac MRI image reconstrunction of CMRxRecon dataset with PromptUnet for sensitivity map estimation.

Official PyTorch implementation of "Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion" (IEEE TMI 2024)

MRI Reconstruction. Methodology to score effectiveness of loss metrics. Incorporation of Edge Loss for boosting edges in reconstruction.

TensorFlow data pipelines for the fastMRI dataset

Accelerated brain MRI reconstruction from 4x simulated k-space undersampling (RRDB + multi-stage fine-tuning). Research prototype only — not for clinical use.

An open-source research toolkit for fast MRI reconstruction, vision-language reasoning, and multimodal deep learning experiments.

Score-Based Diffusion Models for Accelerated MRI Reconstruction — VP-SDE with data consistency achieving SSIM 0.942 at 4x acceleration on fastMRI