Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images

von Baccarelli, Enzo
Veröffentlicht in: Expert systems with applications (2023)

A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection

von Scarpiniti, Michele
Veröffentlicht in: Expert systems with applications (2022)