cq615

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

CRNN-MRI

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

Deep-MRI-Reconstruction

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

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

sigmanet

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

TIP

[ECCV 2024] TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data (an official implementation)

VS-Net

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

cq615/Joint-Motion-Estimation-and-Segmentation

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

cq615/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

cq615/Deep-MRI-Reconstruction

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

cq615/Biomechanics-informed-motion-tracking

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

cq615/CRNN-MRI

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

cq615/BIGM-motion-tracking

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

cq615/VS-Net

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

cq615/sigmanet

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

cq615/TIP

[ECCV 2024] TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data (an official implementation)

cq615/advchain

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

cq615/Cooperative_Training_and_Latent_Space_Data_Augmentation

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

cq615/cq615.github.io

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

cq615/decaf-workshop.github.io

DeCaF-website

cq615/FedFDD

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

cq615/Glow-PyTorch

Simple, extendable, easy to understand Glow implementation in PyTorch

cq615/GraDIRN

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

cq615/midir

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

cq615/Multiview-Motion-Estimation-for-3D-cardiac-motion-tracking

cq615/unsupervised-neighborhood-component-analysis

[Neurocomputing'15] Unsupervised neighborhood component analysis for clustering