Pinned Repositories
3D-convolutional-autoencoder-for-fmri-volumes
Learning spatial and temporal features of fMRI brain images.
AAE_pytorch
ad-skull-reconstruction
Repository for reconstruction of simulated skull CT data for AD project
adversarial-autoencoder-keras
my implementation of adversarial autoencoder with keras
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
adverserial-autoencoder-keras
Keras Implementation of adverserial autoencoder (AAE)
AI-Challenger-Retinal-Edema-Segmentation
DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger
LightFields.jl
This julia package provides a novel technique for Sparse Light Field Reconstruction using the Shearlet Transform.
Slicer-1
Multi-platform, free open source software for visualization and image computing.
test
test
wzhangNEU's Repositories
wzhangNEU/Slicer-1
Multi-platform, free open source software for visualization and image computing.
wzhangNEU/test
test
wzhangNEU/AppropriatingNewTechnologies
A half-semester class at ITP.
wzhangNEU/auto_car
基于深度学习的自动避障智能小车
wzhangNEU/autoencoders
Implementation of several different types of autoencoders
wzhangNEU/Computation-Conformal-Geometry
2016-Beijing Course
wzhangNEU/dcgan-autoencoder
wzhangNEU/dcgan-denosing-autoencoder
wzhangNEU/Deep-Learning-Computed-Tomography
Caffe implementation of the novel layers and weight fillters, for our paper "Deep Learning Computed Tomography".
wzhangNEU/Fig2_Fig3_Fig4-for-NR-IQA-with-Shearlet-Transform-and-DNN
wzhangNEU/lstm
wzhangNEU/ml-image-denoising
Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder
wzhangNEU/NR-VQA-1D-CNN
wzhangNEU/odl-examples
Examples for the ODL package
wzhangNEU/odlemrecon
ODL bindings for EMrecon
wzhangNEU/prior-motion-reconstruction-CT
Data, code and results for prior- and motion-based reconstruction (PRIMOR) method for respiratory gated CT
wzhangNEU/pydicom
Read, modify and write DICOM files with python code
wzhangNEU/pyshearlab
pyShearLab is a Python toolbox which is based on ShearLab3D written by Rafael Reisenhofer and has been ported to Python by Stefan Loock.
wzhangNEU/rcnn
R-CNN: Regions with Convolutional Neural Network Features
wzhangNEU/SelfExSR
Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)
wzhangNEU/ShearCuda
Implementation of Discrete Shearlet Transform on GPU with applications in anomaly detection and denoising
wzhangNEU/shearlet-transform
wzhangNEU/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
wzhangNEU/TensorFlow-VAE-GAN-DRAW
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
wzhangNEU/wasserstein-notebook
Wasserstein / earth mover's distance visualizations