Adversarial distortion learning for medical image denoising

M Ghahremani, M Khateri, A Sierra, J Tohka - arxiv preprint arxiv …, 2022‏ - arxiv.org
We present a novel adversarial distortion learning (ADL) for denoising two-and three-
dimensional (2D/3D) biomedical image data. The proposed ADL consists of two auto …

A Review of Research Progress and Application of Wavelet Neural Networks

T Wang, V Guercio, P Cattani, F Villecco - International Conference “New …, 2023‏ - Springer
Abstract Artificial Neural Network (ANN) has been used extensively and constantly
developed. The combination of wavelet transform theory and the neural network has …

[HTML][HTML] Introducing structural symmetry and asymmetry implications in development of recent pharmacy and medicine

L Jäntschi - Symmetry, 2022‏ - mdpi.com
Structural symmetry, anti-symmetry, or asymmetry represent a foundational property that, for
chemical compounds, often determines their chemical and biological activity. Symmetric …

Pre-image Calculation for Random Fourier Feature Kernel Machines

B Tiddeman, W Robinson - UK Workshop on Computational Intelligence, 2023‏ - Springer
In this paper we address the pre-image problem for random Fourier feature based kernel
machines. Full kernel methods require the calculation of the Gram matrix of scalar products …

A proximal algorithm with convergence guarantee for a nonconvex minimization problem based on reproducing kernel Hilbert space

HX Dou, LJ Deng - Symmetry, 2021‏ - mdpi.com
The underlying function in reproducing kernel Hilbert space (RKHS) may be degraded by
outliers or deviations, resulting in a symmetry ill-posed problem. This paper proposes a …