research
∙
02/28/2022
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising
Low-dose computed tomography (LDCT) denoising is an important problem in...
share
research
∙
07/08/2020
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
Deep neural network based methods have achieved promising results for CT...
research
∙
01/08/2020
On Interpretability of Artificial Neural Networks
Deep learning has achieved great successes in many important areas to de...
research
∙
01/17/2019
Quadratic Autoencoder for Low-Dose CT Denoising
Recently, deep learning has transformed many fields including medical im...
research
∙
12/31/2018
Soft-Autoencoder and Its Wavelet Shrinkage Interpretation
Deep learning is a main focus of artificial intelligence and has greatly...
research
∙
11/22/2018
Universal Approximation by a Slim Network with Sparse Shortcut Connections
Over recent years, deep learning has become a mainstream method in machi...
research
∙
07/31/2018
Universal Approximation with Quadratic Deep Networks
Recently, deep learning has been playing a central role in machine learn...
research
∙
07/04/2018
Fuzzy Logic Interpretation of Artificial Neural Networks
Over past several years, deep learning has achieved huge successes in va...
research
∙
02/15/2018
Shamap: Shape-based Manifold Learning
For manifold learning, it is assumed that high-dimensional sample/data p...
research
∙
01/05/2018
Learning from Pseudo-Randomness With an Artificial Neural Network - Does God Play Pseudo-Dice?
Inspired by the fact that the neural network, as the mainstream for mach...
research
∙
08/17/2017
General Backpropagation Algorithm for Training Second-order Neural Networks
The artificial neural network is a popular framework in machine learning...
research
∙
04/26/2017
