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1 Ergebnisse
1
Assessing Trustworthy AI in Times of COVID-19: Deep Learnin..:
Allahabadi, Himanshi
;
Amann, Julia
;
Balot, Isabelle
...
IEEE Transactions on Technology and Society. 3 (2022) 4 - p. 272-289 , 2022
Link:
https://doi.org/10.1109/tts.2022.3195114
RT Journal T1
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
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tts.2022.3195114&Exemplar=1&LAN=DE A1 Allahabadi, Himanshi A1 Amann, Julia A1 Balot, Isabelle A1 Beretta, Andrea A1 Binkley, Charles A1 Bozenhard, Jonas A1 Bruneault, Frederick A1 Brusseau, James A1 Candemir, Sema A1 Cappellini, Luca Alessandro A1 Chakraborty, Subrata A1 Cherciu, Nicoleta A1 Cociancig, Christina A1 Coffee, Megan A1 Ek, Irene A1 Espinosa-Leal, Leonardo A1 Farina, Davide A1 Fieux-Castagnet, Genevieve A1 Frauenfelder, Thomas A1 Gallucci, Alessio A1 Giuliani, Guya A1 Golda, Adam A1 van Halem, Irmhild A1 Hildt, Elisabeth A1 Holm, Sune A1 Kararigas, Georgios A1 Krier, Sebastien A. A1 Kuhne, Ulrich A1 Lizzi, Francesca A1 Madai, Vince I. PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 2637-6415 JF IEEE Transactions on Technology and Society VO 3 IS 4 SP 272 OP 289 LK http://dx.doi.org/https://doi.org/10.1109/tts.2022.3195114 DO https://doi.org/10.1109/tts.2022.3195114 SF ELIB - SuUB Bremen
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