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Pierre Decazes

Centre Henri Becquerel

SCHOLARLY PAPERS

2

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114

TOTAL CITATIONS

2

Scholarly Papers (2)

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1.

Deep Evidential Fusion with Uncertainty Quantification and Reliability Learning for Multimodal Medical Image Segmentation

Number of pages: 25 Posted: 12 Apr 2024
Ling Huang, Su Ruan, Pierre Decazes and Thierry Denœux
affiliation not provided to SSRN, Université de Rouen, Centre Henri Becquerel and University of Technology of Compiegne (UTC) - Heuristics and Diagnostics for Complex Systems (Heudiasyc) - UMR CNRS 7253
Downloads 72 (860,052)
Citation 2

Abstract:

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Dempster-Shafer theory, Evidence theory, Medical Image Processing, Deep learning, Decision-level fusion

2.

High Prevalence of Pre-Existing Sarcopenia in Critically Ill Patients with Hematologic Malignancies Admitted to the Intensive Care Unit for Sepsis or Septic Shock

Number of pages: 23 Posted: 03 Nov 2022
Antoine Herault, Emilie Leveque, Simon Draye-Carbonnier, Alexandra Zduniak, Pierre Decazes, Romain Modzelewski, Julie Libraire, Najate Achamrah, Anne-Lise Menard, Pascal Lenain, Nathalie Contentin, Maximilien Grall, Stéphane Lepretre, Emilie Lemasle, Helene Lanic, Mustafa Alani, Aspasia Stamatoullas-Bastard, Herve Tilly, Fabrice Jardin, Fabienne Tamion and Vincent Camus
affiliation not provided to SSRN, Centre Henri Becquerel, affiliation not provided to SSRN, affiliation not provided to SSRN, Centre Henri Becquerel, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Centre Henri Becquerel, affiliation not provided to SSRN, affiliation not provided to SSRN, Centre Henri Becquerel, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Rouen - Department of Haematology, Centre Henri Becquerel, University of Rouen - Medical Intensive Care Unit and Centre Henri Becquerel
Downloads 42 (1,157,785)

Abstract:

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hematologic malignancies, sarcopenia, pre-existing sarcopenia, adipopenia, pre-existing adipopenia, intensive care unit, critical care, sepsis, septic shock