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recoil

Tools for prototyping non-Cartesian MR image reconstruction algorithms

recoil-old

Tools for prototyping non-Cartesian MR image reconstruction algorithms

recon_propeller

reconet

Tensor Low-rank Reconstruction for Semantic Segmentation

reconformer

ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer

reconnet

ReconNet: CVPR 2016

reconstructionpipeline

This is a reconstruction pipeline to reconstruct raw MRI data acquired with a Siemens MR scanner using gradient recalled echo (GRE) sequences.

recorder-hero

An MIT 6.111 final project

recurrent-gan

Automatic Cardiac MRI Segmentation via Context Aware Recurrent Generative Adversarial Neural Network

red

RED - Regularization by Denoising

refinegan

refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

reinforcement-learning-in-portfolio-management-

This project implements three deep reinforcement learning algorithms, including PG (for finance), DDPG and PPO, on portfolio management

reproduce-l-s-dynamic-mri

Matlab code for reproducing 2019 IEEE Tr. Comp. Im. paper "Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model" by Claire Lin

reproducible-deep-compressive-sensing

Collection of reproducible deep learning for compressive sensing

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

reseg

A Recurrent Neural Network for Object Segmentation

residual-channel-attention-network

Unofficial Tensorflow implementation of "Image Super-Resolution Using Very Deep Residual Channel Attention Networks", ECCV 2018

residual-non-local-attention-networks-for-image-restoration

respme-net

restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

retina-unet

Retina blood vessel segmentation with a convolutional neural network

retromocobox

Retrospective motion-correction of 3D MRI k-space data in Matlab

reweighted-l1-minimization

Implementation of Iterative Reweighted L1 Minimization

rfcontrol

rfov

Iterative Reduced FOV reconstruction for PROPELLER

ridnet

Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.

ring

Simple auto‐calibrated gradient delay estimation from few spokes using Radial Intersections (RING)

rkn

rl-movie-recommender

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.