Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tasnim Dardouri"'
Autor:
Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, Hugo Gortais, Paul Herent, Matthieu Devilder, Samer Soliman, Olivier Meyrignac, Marie-Pauline Talabard, Jean-Philippe Lamarque, Remy Dubois, Nicolas Loiseau, Paul Trichelair, Etienne Bendjebbar, Gabriel Garcia, Corinne Balleyguier, Mansouria Merad, Annabelle Stoclin, Simon Jegou, Franck Griscelli, Nicolas Tetelboum, Yingping Li, Sagar Verma, Matthieu Terris, Tasnim Dardouri, Kavya Gupta, Ana Neacsu, Frank Chemouni, Meriem Sefta, Paul Jehanno, Imad Bousaid, Yannick Boursin, Emmanuel Planchet, Mikael Azoulay, Jocelyn Dachary, Fabien Brulport, Adrian Gonzalez, Olivier Dehaene, Jean-Baptiste Schiratti, Kathryn Schutte, Jean-Christophe Pesquet, Hugues Talbot, Elodie Pronier, Gilles Wainrib, Thomas Clozel, Fabrice Barlesi, Marie-France Bellin, Michael G. B. Blum
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
The SARS-COV-2 pandemic has put pressure on intensive care units, so that predicting severe deterioration early is a priority. Here, the authors develop a multimodal severity score including clinical and imaging features that has significantly improv
Externí odkaz:
https://doaj.org/article/76a7a97e4e24414e8fad1e1e8183cf07
Autor:
Paul Trichelair, Kathryn Schutte, Etienne Bendjebbar, Thomas Clozel, Nathalie Lassau, Sagar Verma, Gilles Wainrib, Simon Jégou, Remy Dubois, Frank Chemouni, Gabriel Garcia, Yingping Li, Annabelle Stoclin, Samer Soliman, Imad Bousaid, Paul Jehanno, Fabien Brulport, Hugo Gortais, Olivier Meyrignac, Jocelyn Dachary, Marie-Pauline Talabard, Emilie Chouzenoux, Ana Neacsu, Matthieu Terris, Fabrice Barlesi, Matthieu Devilder, Mikael Azoulay, Hugues Talbot, Kavya Gupta, Paul Herent, Olivier Dehaene, Franck Griscelli, Jean-Baptiste Schiratti, Michael G. B. Blum, Adrian Gonzalez, Jean-Christophe Pesquet, Nicolas Tetelboum, Corinne Balleyguier, Nicolas Loiseau, Marie-France Bellin, Samy Ammari, Elodie Pronier, Tasnim Dardouri, Emmanuel Planchet, Yannick Boursin, Meriem Sefta, Jean-Philippe Lamarque, Mansouria Merad
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Nature Communications
Nature Communications, Nature Publishing Group, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, inPress, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications
Nature Communications, Nature Publishing Group, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, inPress, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
The SARS-COV-2 pandemic has put pressure on intensive care units, so that identifying predictors of disease severity is a priority. We collect 58 clinical and biological variables, and chest CT scan data, from 1003 coronavirus-infected patients from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f576b5625b6c6de034b395dc10637890
https://doaj.org/article/76a7a97e4e24414e8fad1e1e8183cf07
https://doaj.org/article/76a7a97e4e24414e8fad1e1e8183cf07
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP)
2021 IEEE International Conference on Image Processing (ICIP), Sep 2021, Anchorage, France. pp.3747-3751, ⟨10.1109/ICIP42928.2021.9506737⟩
2021 IEEE International Conference on Image Processing (ICIP), Sep 2021, Anchorage / Virtual, United States. pp.3747-3751, ⟨10.1109/ICIP42928.2021.9506737⟩
2021 IEEE International Conference on Image Processing (ICIP), Sep 2021, Anchorage, France. pp.3747-3751, ⟨10.1109/ICIP42928.2021.9506737⟩
2021 IEEE International Conference on Image Processing (ICIP), Sep 2021, Anchorage / Virtual, United States. pp.3747-3751, ⟨10.1109/ICIP42928.2021.9506737⟩
International audience; The objective of this paper is to investigate techniques for learning Fully Connected Network (FCN) models in a lifting based image coding scheme. More precisely, based on a 2D non separable lifting structure composed of three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5693009da859514a1bc6e769de873e2
https://hal.science/hal-03915403
https://hal.science/hal-03915403
Autor:
Simon Jégou, Jean-Philippe Lamarque, Matthieu Devilder, Paul Jehanno, Emilie Chouzenoux, Etienne Bendjebbar, Frank Chemouni, Sagar Verma, Nicolas Loiseau, Thomas Clozel, Franck Griscelli, Yannick Boursin, Imad Bousaid, Marie-Pauline Talabard, Elodie Pronier, Matthieu Terris, Tasnim Dardouri, Emmanuel Planchet, Olivier Dehaene, Jocelyn Dachary, Kathryn Schutte, Gilles Wainrib, Olivier Meyrignac, Corinne Balleyguier, Michael G. B. Blum, Yingping Li, Hugues Talbot, Mikael Azoulay, Fabien Brulport, Meriem Sefta, Fabrice Barlesi, Mansouria Merad, Remy Dubois, Samer Soliman, Paul Trichelair, Marie-France Bellin, Gabriel Garcia, Adrian Gonzalez, Jean-Christophe Pesquet, Nicolas Tetelboum, Samy Ammari, Nathalie Lassau, Ana Neacsu, Paul Herent, Jean-Baptiste Schiratti, Annabelle Stoclin, Hugo Gortais, Kavya Gupta
With 15% of severe cases among hospitalized patients, the SARS-COV-2 pandemic has put tremendous pressure on Intensive Care Units, and made the identification of early predictors of future severity a public health priority. We collected cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f1b408c431a3cc55d94074d9d9a15f5
https://doi.org/10.1101/2020.05.14.20101972
https://doi.org/10.1101/2020.05.14.20101972