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                                       Details for article 4 of 8 found articles
 
 
  Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution
 
 
Title: Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution
Author: Djahnine, Aissam
Lazarus, Carole
Lederlin, Mathieu
Mulé, Sébastien
Wiemker, Rafael
Si-Mohamed, Salim
Jupin-Delevaux, Emilien
Nempont, Olivier
Skandarani, Youssef
De Craene, Mathieu
Goubalan, Segbedji
Raynaud, Caroline
Belkouchi, Younes
Afia, Amira Ben
Fabre, Clement
Ferretti, Gilbert
De Margerie, Constance
Berge, Pierre
Liberge, Renan
Elbaz, Nicolas
Blain, Maxime
Brillet, Pierre-Yves
Chassagnon, Guillaume
Cadour, Farah
Caramella, Caroline
Hajjam, Mostafa El
Boussouar, Samia
Hadchiti, Joya
Fablet, Xavier
Khalil, Antoine
Talbot, Hugues
Luciani, Alain
Lassau, Nathalie
Boussel, Loic
Appeared in: Diagnostic and interventional imaging
Paging: Volume 105 () nr. 3 pages 97-103
Year: 2024
Contents:
Publisher: Société française de radiologie
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 8 found articles
 
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