wzhangneu Goto Github PK

pwls-ultra-for-low-dose-3d-ct-image-reconstruction

pycoshrem

Complex Shearlet Based Edge and Ridge Measurement

pydata-annarbor2017-dl-tutorial

Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017

pydicom

Read, modify and write DICOM files with python code

pyshearlab

pyShearLab is a Python toolbox which is based on ShearLab3D written by Rafael Reisenhofer and has been ported to Python by Stefan Loock.

python

All Algorithms implemented in Python

python-machine-learning-cookbook

Code files for Python-Machine-Learning-Cookbook

python-utils

Disorganized collection of useful functions for working with audio and images, especially in the context of machine learning.

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

rcnn

R-CNN: Regions with Convolutional Neural Network Features

red

RED - Regularization by Denoising

red_cnn

Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

res_ae

Residual Auto Encoder...

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

sagan

Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network

savu

Tomography Reconstructon Pipeline

sciblog_support

Support content for my blog

selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

shearcuda

Implementation of Discrete Shearlet Transform on GPU with applications in anomaly detection and denoising

shearlet-framework

shearlet-transform

slicer-1

Multi-platform, free open source software for visualization and image computing.

somaextraction

2D soma detection and extraction method based on directional anisotropic gaussian filters and fast marching method.

sparse_net

JuPyter notebook recreating the experiments done in "Optimal Approximation" but Kutyniok and coauthors.

spectral_ct_examples

split-bregman-total-variation-jacobian-matrix

Constrained total variation image reconstruction problem solved using the Split Bregman formulation where the Jacobian is provided as a matrix

split_bregman_piccs_fmri

spyder

Official repository for Spyder - The Scientific PYthon Development EnviRonment