Assessing Trustworthy AI in times of COVID-19: Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients
- Himanshi Allahabadi
- , Julia Amann
- , Isabelle Balot
- , Leonardo Espinosa-Leal
- , et al.
- EY Netherlands
- Swiss Federal Institute of Technology in Zurich (ETH Zürich)
- Center for Diplomatic & Strategic Studies (CEDS)
- Arcada University of Applied Sciences
Research output: Contribution to journal › Article › Scientific › peer-review
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(Scopus)