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

por Baccarelli, Enzo, Scarpiniti, Michele, Momenzadeh, Alireza
Publicado 2023

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

por Scarpiniti, Michele, Sarv Ahrabi, Sima, Baccarelli, Enzo, Piazzo, Lorenzo, Momenzadeh, Alireza
Publicado 2022

Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans

por Sarv Ahrabi, Sima, Piazzo, Lorenzo, Momenzadeh, Alireza, Scarpiniti, Michele, Baccarelli, Enzo
Publicado 2022

How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study

por Sarv Ahrabi, Sima, Momenzadeh, Alireza, Baccarelli, Enzo, Scarpiniti, Michele, Piazzo, Lorenzo
Publicado 2022