Objectif : dans le suivi des gliomes de haut grade ayant reçu un traitement de première ligne par radio-chimiothérapie, la différenciation entre une progression tumorale vraie et une lésion radio-induite est souvent difficile. Dans les cas litigieux en imagerie par résonance magnétique (IRM), la tomographie par émission de positions (TEP) à la...
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November 20, 2020 (v1)PublicationUploaded on: December 4, 2022
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June 11, 2022 (v1)Conference paper
International audience
Uploaded on: November 25, 2023 -
August 6, 2024 (v1)Journal article
Purpose: The aim of this study was to compare the performance and added clinical value of a semiautomated radiomics model and an automated 3dimensinal convolutional neural network (3D-CNN) model for diagnosing neurodegenerative parkinsonian syndromes on 18 F-FDOPA PET images. Patients and Methods: This 2-center retrospective study included 687...
Uploaded on: September 3, 2024 -
October 5, 2024 (v1)Journal article
Purpose The aim of this study was to compare the performance and added clinical value of a semiautomated radiomics model and an automated 3-dimensinal convolutional neural network (3D-CNN) model for diagnosing neurodegenerative parkinsonian syndromes on 18 F-FDOPA PET images. Patients and Methods This 2-center retrospective study included 687...
Uploaded on: January 13, 2025 -
October 22, 2020 (v1)Conference paper
Aim/Introduction: The design and validation of a reliable radiomic signature is challenging when few patients are available because the disease is rare, the imaging protocol is specific and/or the classes are unbalanced. In this context, we propose an approach to identify a signature and estimate its reliability. Materials and Methods: 84...
Uploaded on: December 4, 2022