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Radiology. Artificial Intelligence|May 3, 2021
Deep Learning-based Automated Segmentation of Left Ventricular Trabeculations and Myocardium on Cardiac MR Images: A Feasibility StudyAxel Bartoli, Joris Fournel, Zakarya Bentatou, et al.
Radiology|April 2, 2024
Left Ventricular Trabeculations at Cardiac MRI: Reference Ranges and Association with Cardiovascular Risk Factors in UK BiobankNay Aung, Axel Bartoli, Elisa Rauseo, et al.
Cells|March 25, 2022
Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19Axel Bartoli, Joris Fournel, Léa Ait-Yahia, et al.
European Radiology|November 7, 2025
Deep learning-driven false-lumen volumes predict adverse remodeling better than diameter in patients with residual aortic dissection on CTJoris Fournel, Mariangela De Masi, Charlotte Lu, et al.
Research in Diagnostic and Interventional Imaging|July 31, 2023
Value and prognostic impact of a deep learning segmentation model of COVID-19 lung lesions on low-dose chest CTAxel Bartoli, Joris Fournel, Arnaud Maurin, et al.
Expert Review of Pharmacoeconomics & Outcomes Research|January 1, 2014
Statistical challenges of quality of life and cancer: new avenues for future researchLaurent Boyer, Karine Baumstarck, Pierre Michel, et al.
Cardiovascular Diabetology|September 3, 2024
Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB studyBénédicte Gaborit, Jean Baptiste Julla, Joris Fournel, et al.
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