"AI-Driven CT-based quantification, staging and short-term outcome ..."

Guillaume Chassagnon et al. (2020)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-04-29

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2004-12852
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  - https://dblp.org/rec/journals/corr/abs-2004-12852
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Gael Freche, Aurelien Lombard, Laure Fournier, Hippolyte Monnier, Teodor Grand, Jules Gregory, Antoine Khalil, Elyas Mahdjoub, Pierre-Yves Brillet, Stephane Tran Ba, Valérie Bousson, Marie-Pierre Revel, Nikos Paragios:
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. CoRR abs/2004.12852 (2020)

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