Quick search
Advanced search in
Research outcomes
Field to searchTerm
Add rule
The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
Download Results
3 research outcomes, page 1 of 1
  • publication . 2021
    Restricted English
    Authors:
    Olivier Debauche; Saïd Mahmoudi; Sidi Ahmed Mahmoudi; Pierre Manneback;
    Persistent Identifiers
    Publisher: Springer
    Country: Belgium

    Fast and efficient collaboration among researchers is a crucial task to advance effectively in Covid-19 research. In this chapter, we present a new collaborative platform allowing to exchange and share both medical benchmark datasets and developed applications rapidly a...

    Add to ORCIDorcid
  • publication . Part of book or chapter of book . 2020
    Open Access English
    Authors:
    Dominique Verpoorten; Johanne Huart; Pascal Detroz; Françoise Jérôme;
    Persistent Identifiers
    Publisher: IntechOpen
    Country: Belgium

    Before the COVID-19 pandemic, the Teaching and Learning Centre of the University of Liège (Belgium) administered a questionnaire to disclose the main predictors of faculty’s intention to resort, within a timespan of two years, to blended learning in at least one of thei...

    Add to ORCIDorcid
  • publication . 2021
    Restricted English
    Authors:
    Xavier Lessage; Saïd Mahmoudi; Sidi Ahmed Mahmdoudi; Sohaib Laraba; Olivier Debauche; Mohammed Amin Belarbi;
    Persistent Identifiers
    Publisher: Springer
    Country: Belgium

    The latest advances of deep learning and particularly convolutional neural networks (CNNs) have proven more than once their high accuracy in disease detection. In this chapter, we propose a new deep learning-based approach for COVID-19 detection from chest X-ray images....

    Add to ORCIDorcid
3 research outcomes, page 1 of 1