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"Rapid quantification of COVID-19 pneumonia burden from computed tomography ..."

Kajetan Grodecki et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2024-03-14

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2104-00138
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2104-00138
Kajetan Grodecki, Aditya Killekar, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Judit Simon, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr J. Slomka:
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. CoRR abs/2104.00138 (2021)

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