MRI reconstruction (e.g., QSM) using deep learning methods

Last update: Dec 18, 2022

Overview

deepMRI: Deep learning methods for MRI

Authors: Yang Gao, Hongfu Sun

This repo is devloped based on Pytorch (1.8 or later) and matlab (R2019a or later).
The codes in this repo were tested on Centos 7.8 with Nvdia Tesla V100 and macos12.0.1/win10/ubuntu19.10 with GTX 1060

Projects

xQSM for QSM dipole inversion

DCRnet for QSM and R2* acceleration

iQSM for single-step instant QSM

xQSM for QSM dipole inversion

xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks

source code (github) | arXiv (pre-print) | NMR in Biomed (full paper)

DCRNet for QSM and R2* acceleration

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction

source code (github) | arXiv (pre-print) | NeuroImage (full paper)

iQSM for single-step instant QSM

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enabled deep neural networks

source code (github) | arXiv (pre-print)

⬆ top

MRI reconstruction (e.g., QSM) using deep learning methods

Related tags

Overview

deepMRI: Deep learning methods for MRI

Projects

xQSM for QSM dipole inversion

DCRNet for QSM and R2* acceleration

iQSM for single-step instant QSM

Owner

Hongfu Sun

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Direct design of biquad filter cascades with deep learning by sampling random polynomials.

Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-like Documents.

Implementation for "Domain-Specific Bias Filtering for Single Labeled Domain Generalization"

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut

Ratatoskr: Worcester Tech's conference scheduling system

Measuring Coding Challenge Competence With APPS

The code of "Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer".

Supervised Contrastive Learning for Downstream Optimized Sequence Representations

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks

Open-AI's DALL-E for large scale training in mesh-tensorflow.

Spectrum is an AI that uses machine learning to generate Rap song lyrics

Implementation of Shape Generation and Completion Through Point-Voxel Diffusion

Face recognition project by matching the features extracted using SIFT.

Doods2 - API for detecting objects in images and video streams using Tensorflow

Efficient face emotion recognition in photos and videos

This repository contains the entire code for our work "Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding"

Improving adversarial robustness by a coupling rejection strategy