Search Results - "Mathez, Emilie Wiinblad"

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

    “…The paper's main contributions are twofold: to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for…”
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