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Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution.
Djahnine A, Lazarus C, Lederlin M, Mulé S, Wiemker R, Si-Mohamed S, Jupin-Delevaux E, Nempont O, Skandarani Y, De Craene M, Goubalan S, Raynaud C, Belkouchi Y, Afia AB, Fabre C, Ferretti G, De Margerie C, Berge P, Liberge R, Elbaz N, Blain M, Brillet PY, Chassagnon G, Cadour F, Caramella C, Hajjam ME, Boussouar S, Hadchiti J, Fablet X, Khalil A, Talbot H, Luciani A, Lassau N, Boussel L. Djahnine A, et al. Diagn Interv Imaging. 2024 Mar;105(3):97-103. doi: 10.1016/j.diii.2023.09.006. Epub 2023 Oct 11. Diagn Interv Imaging. 2024. PMID: 38261553
BERT-based natural language processing analysis of French CT reports: Application to the measurement of the positivity rate for pulmonary embolism.
Jupin-Delevaux É, Djahnine A, Talbot F, Richard A, Gouttard S, Mansuy A, Douek P, Si-Mohamed S, Boussel L. Jupin-Delevaux É, et al. Among authors: djahnine a. Res Diagn Interv Imaging. 2023 Mar 27;6:100027. doi: 10.1016/j.redii.2023.100027. eCollection 2023 Jun. Res Diagn Interv Imaging. 2023. PMID: 39077547 Free PMC article.