Jun Lyu's repositories
Calgary_MRI_Reconstruction
Calgary datasets include single-channel and multi-channel k-space data. We will use different deep-learning based method to reconstruct the data.
3dbraingen
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
CINE_MRI_CONVLSTM
This is the code for the paper "Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network"
CMRxRecon
Code for the Cardiac MRI Reconstruction Challenge (CMRxRecon)
Contrast-enhanced-MRI-Synthesis
Contrast-enhanced MRI Synthesis Using 3D High-Resolution ConvNets; U-Net; HR-Net; Keras implement
CSMRI_0325
My personal work in CS-MRI
fastmri-reproducible-benchmark
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
graph-super-resolution
[CVPR 2022] Learning Graph Regularisation for Guided Super-Resolution
k-space-deep-learning
k-Space Deep Learning for Accelerated MRI
nini-lxz.github.io
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