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advchain

[Medical Image Analysis] Adversarial Data Augmentation with Chained Transformations (AdvChain)

bigm-motion-tracking

[MedIA'22] Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior

biomechanics-informed-motion-tracking

[MICCAI'20] Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI

cooperative_training_and_latent_space_data_augmentation

[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

cq615.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

crnn-mri

[TMI'19] Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

decaf-workshop.github.io

DeCaF-website

deep-mri-reconstruction

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

fedfdd

This is the pytorch implementation of FedFDD in the MIDL paper.

glow-pytorch

Simple, extendable, easy to understand Glow implementation in PyTorch

gradirn

[MICCAI 2022] Embedding Gradient-based Optimization in Image Registration Networks

joint-motion-estimation-and-segmentation

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

kt-dynamic-mri-reconstruction

[MRM'21] Complementary Time-Frequency Domain Network for Dynamic Parallel MR Image Reconstruction. [MICCAI'19] k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations

midir

Learning Diffeomorphic and Modality-invariant Registration using B-splines (MIDL 2021)

multiview-motion-estimation-for-3d-cardiac-motion-tracking

sigmanet

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

unsupervised-neighborhood-component-analysis

[Neurocomputing'15] Unsupervised neighborhood component analysis for clustering

vs-net

[MICCAI'19] Variable splitting network for accelerated parallel MRI reconstruction