Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

Himanshi Allahabadi, Julia Amann, Isabelle Balot, Andrea Beretta, Charles Binkley, Jonas Bozenhard, Frederick Bruneault, James Brusseau, Sema Candemir, Luca Alessandro Cappellini, Subrata Chakraborty, Nicoleta Cherciu, Christina Cociancig, Megan Coffee, Irene Ek, Leonardo Espinosa-Leal, Davide Farina, Genevieve Fieux-Castagnet, Thomas Frauenfelder, Alessio Gallucci, Guya Giuliani, Adam Golda, Irmhild van Halem, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Sebastien A. Krier, Ulrich Kuhne, Francesca Lizzi, Vince I. Madai, Aniek F. Markus, Serg Masis, Emilie Wiinblad Mathez, Francesco Mureddu, Emanuele Neri, Walter Osika, Matiss Ozols, Cecilia Panigutti, Brendan Parent, Francesca Pratesi, Pedro A. Moreno-Sanchez, Giovanni Sartor, Mattia Savardi, Alberto Signoroni, Hanna-Maria Sormunen, Andy Spezzatti, Adarsh Srivastava, Annette F. Stephansen, Lau Bee Theng, Jesmin Jahan Tithi, Jarno Tuominen, Steven Umbrello, Filippo Vaccher, Dennis Vetter, Magnus Westerlund, Renee Wurth, Roberto V. Zicari

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DOI
10.1109/tts.2022.3195114
Published
2022-12
Container
IEEE Transactions on Technology and Society
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/tts.2022.3195114,
  title = {Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients},
  author = {Himanshi Allahabadi and Julia Amann and Isabelle Balot and Andrea Beretta and Charles Binkley and Jonas Bozenhard and Frederick Bruneault and James Brusseau and Sema Candemir and Luca Alessandro Cappellini and Subrata Chakraborty and Nicoleta Cherciu and Christina Cociancig and Megan Coffee and Irene Ek and Leonardo Espinosa-Leal and Davide Farina and Genevieve Fieux-Castagnet and Thomas Frauenfelder and Alessio Gallucci and Guya Giuliani and Adam Golda and Irmhild van Halem and Elisabeth Hildt and Sune Holm and Georgios Kararigas and Sebastien A. Krier and Ulrich Kuhne and Francesca Lizzi and Vince I. Madai and Aniek F. Markus and Serg Masis and Emilie Wiinblad Mathez and Francesco Mureddu and Emanuele Neri and Walter Osika and Matiss Ozols and Cecilia Panigutti and Brendan Parent and Francesca Pratesi and Pedro A. Moreno-Sanchez and Giovanni Sartor and Mattia Savardi and Alberto Signoroni and Hanna-Maria Sormunen and Andy Spezzatti and Adarsh Srivastava and Annette F. Stephansen and Lau Bee Theng and Jesmin Jahan Tithi and Jarno Tuominen and Steven Umbrello and Filippo Vaccher and Dennis Vetter and Magnus Westerlund and Renee Wurth and Roberto V. Zicari},
  year = {2022},
  journal = {IEEE Transactions on Technology and Society},
  doi = {10.1109/tts.2022.3195114},
  url = {https://doi.org/10.1109/tts.2022.3195114}
}

RIS

TY  - JOUR
TI  - Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients
AU  - Himanshi Allahabadi
AU  - Julia Amann
AU  - Isabelle Balot
AU  - Andrea Beretta
AU  - Charles Binkley
AU  - Jonas Bozenhard
AU  - Frederick Bruneault
AU  - James Brusseau
AU  - Sema Candemir
AU  - Luca Alessandro Cappellini
AU  - Subrata Chakraborty
AU  - Nicoleta Cherciu
AU  - Christina Cociancig
AU  - Megan Coffee
AU  - Irene Ek
AU  - Leonardo Espinosa-Leal
AU  - Davide Farina
AU  - Genevieve Fieux-Castagnet
AU  - Thomas Frauenfelder
AU  - Alessio Gallucci
AU  - Guya Giuliani
AU  - Adam Golda
AU  - Irmhild van Halem
AU  - Elisabeth Hildt
AU  - Sune Holm
AU  - Georgios Kararigas
AU  - Sebastien A. Krier
AU  - Ulrich Kuhne
AU  - Francesca Lizzi
AU  - Vince I. Madai
AU  - Aniek F. Markus
AU  - Serg Masis
AU  - Emilie Wiinblad Mathez
AU  - Francesco Mureddu
AU  - Emanuele Neri
AU  - Walter Osika
AU  - Matiss Ozols
AU  - Cecilia Panigutti
AU  - Brendan Parent
AU  - Francesca Pratesi
AU  - Pedro A. Moreno-Sanchez
AU  - Giovanni Sartor
AU  - Mattia Savardi
AU  - Alberto Signoroni
AU  - Hanna-Maria Sormunen
AU  - Andy Spezzatti
AU  - Adarsh Srivastava
AU  - Annette F. Stephansen
AU  - Lau Bee Theng
AU  - Jesmin Jahan Tithi
AU  - Jarno Tuominen
AU  - Steven Umbrello
AU  - Filippo Vaccher
AU  - Dennis Vetter
AU  - Magnus Westerlund
AU  - Renee Wurth
AU  - Roberto V. Zicari
PY  - 2022
JO  - IEEE Transactions on Technology and Society
DO  - 10.1109/tts.2022.3195114
UR  - https://doi.org/10.1109/tts.2022.3195114
ER  -

APA

Allahabadi, H., Amann, J., Balot, I., Beretta, A., Binkley, C., Bozenhard, J., Bruneault, F., Brusseau, J., Candemir, S., Cappellini, L. A., Chakraborty, S., Cherciu, N., Cociancig, C., Coffee, M., Ek, I., Espinosa-Leal, L., Farina, D., Fieux-Castagnet, G., Frauenfelder, T., Gallucci, A., Giuliani, G., Golda, A., Halem, I. V., Hildt, E., Holm, S., Kararigas, G., Krier, S. A., Kuhne, U., Lizzi, F., Madai, V. I., Markus, A. F., Masis, S., Mathez, E. W., Mureddu, F., Neri, E., Osika, W., Ozols, M., Panigutti, C., Parent, B., Pratesi, F., Moreno-Sanchez, P. A., Sartor, G., Savardi, M., Signoroni, A., Sormunen, H., Spezzatti, A., Srivastava, A., Stephansen, A. F., Theng, L. B., Tithi, J. J., Tuominen, J., Umbrello, S., Vaccher, F., Vetter, D., Westerlund, M., Wurth, R., & Zicari, R. V. (2022). Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients. IEEE Transactions on Technology and Society. https://doi.org/10.1109/tts.2022.3195114

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