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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...
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07/08/2020
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
Deep neural network based methods have achieved promising results for CT...
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01/08/2020
On Interpretability of Artificial Neural Networks
Deep learning has achieved great successes in many important areas to de...
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01/17/2019
Quadratic Autoencoder for Low-Dose CT Denoising
Recently, deep learning has transformed many fields including medical im...
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12/31/2018
Soft-Autoencoder and Its Wavelet Shrinkage Interpretation
Deep learning is a main focus of artificial intelligence and has greatly...
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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...
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07/31/2018
Universal Approximation with Quadratic Deep Networks
Recently, deep learning has been playing a central role in machine learn...
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07/04/2018
Fuzzy Logic Interpretation of Artificial Neural Networks
Over past several years, deep learning has achieved huge successes in va...
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02/15/2018
Shamap: Shape-based Manifold Learning
For manifold learning, it is assumed that high-dimensional sample/data p...
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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...
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08/17/2017
General Backpropagation Algorithm for Training Second-order Neural Networks
The artificial neural network is a popular framework in machine learning...
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04/26/2017