Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Twinned Residual Auto-Encoder (TRAE) - A new DL architecture for denoising ..."

Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh (2023)

> Home

Details and statistics

DOI: 10.1016/J.ESWA.2023.120104

access: open

type: Journal Article

metadata version: 2024-03-08

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/eswa/BaccarelliSM23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eswa/BaccarelliSM23
Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh:
Twinned Residual Auto-Encoder (TRAE) - A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images. Expert Syst. Appl. 225: 120104 (2023)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.