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Predicting total lung capacity from spirometry: a machine learning approach.
Beverin L, Topalovic M, Halilovic A, Desbordes P, Janssens W, De Vos M. Beverin L, et al. Among authors: desbordes p. Front Med (Lausanne). 2023 May 19;10:1174631. doi: 10.3389/fmed.2023.1174631. eCollection 2023. Front Med (Lausanne). 2023. PMID: 37275373 Free PMC article.
Artificial intelligence and machine learning for medical imaging: A technology review.
Barragán-Montero A, Javaid U, Valdés G, Nguyen D, Desbordes P, Macq B, Willems S, Vandewinckele L, Holmström M, Löfman F, Michiels S, Souris K, Sterpin E, Lee JA. Barragán-Montero A, et al. Among authors: desbordes p. Phys Med. 2021 Mar;83:242-256. doi: 10.1016/j.ejmp.2021.04.016. Epub 2021 May 9. Phys Med. 2021. PMID: 33979715 Free PMC article. Review.
CLIPPERS and its mimics: evaluation of new criteria for the diagnosis of CLIPPERS.
Taieb G, Mulero P, Psimaras D, van Oosten BW, Seebach JD, Marignier R, Pico F, Rigau V, Ueno Y, Duflos C, Fominykh V, Guiraud V, Lebrun-Frénay C, Camdessanché JP, Kerschen P, Ahle G, Téllez N, Rovira A, Hoang-Xuan K, Pelletier J, Labauge P; in cooperation with the French CLIPPERS group. Taieb G, et al. J Neurol Neurosurg Psychiatry. 2019 Sep;90(9):1027-1038. doi: 10.1136/jnnp-2018-318957. Epub 2019 May 9. J Neurol Neurosurg Psychiatry. 2019. PMID: 31072955
Combination of baseline FDG PET/CT total metabolic tumour volume and gene expression profile have a robust predictive value in patients with diffuse large B-cell lymphoma.
Toledano MN, Desbordes P, Banjar A, Gardin I, Vera P, Ruminy P, Jardin F, Tilly H, Becker S. Toledano MN, et al. Among authors: desbordes p. Eur J Nucl Med Mol Imaging. 2018 May;45(5):680-688. doi: 10.1007/s00259-017-3907-x. Epub 2018 Jan 17. Eur J Nucl Med Mol Imaging. 2018. PMID: 29344718
44 results