Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Gaspard d'Assignies"'
Autor:
Quentin Vanderbecq, Roberto Ardon, Antoine De Reviers, Camille Ruppli, Axel Dallongeville, Isabelle Boulay-Coletta, Gaspard D’Assignies, Marc Zins
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-9 (2022)
Abstract Background To train a machine-learning model to locate the transition zone (TZ) of adhesion-related small bowel obstruction (SBO) on CT scans. Materials and methods We used 562 CTs performed in 2005–2018 in 404 patients with adhesion-relat
Externí odkaz:
https://doaj.org/article/0f5c167b955f4fb68b95ad1c6a6b6280
Autor:
Philippe Garteiser, Gwenaël Pagé, Gaspard d’Assignies, Helena S. Leitao, Valérie Vilgrain, Ralph Sinkus, Bernard E. Van Beers
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract The purpose of this study was to assess the diagnostic value of multifrequency MR elastography for grading necro-inflammation in the liver. Fifty participants with chronic hepatitis B or C were recruited for this institutional review board-a
Externí odkaz:
https://doaj.org/article/ee4172fb9aaf4dd5ab6bb0f96bd82325
Publikováno v:
Radiology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e501020df3d599d3f62e6261387bbb8
https://doi.org/10.1148/radiol.223132
https://doi.org/10.1148/radiol.223132
Autor:
Christophe Nich, Julien Behr, Vincent Crenn, Nicolas Normand, Harold Mouchère, Gaspard d’Assignies
Publikováno v:
International Orthopaedics
International Orthopaedics, 2022, ⟨10.1007/s00264-022-05346-9⟩
International Orthopaedics, 2022, ⟨10.1007/s00264-022-05346-9⟩
Artificial Intelligence (AI)/Machine Learning (ML) applications have been proven efficient to improve diagnosis, to stratify risk, and to predict outcomes in many respective medical specialties, including in orthopaedics.Regarding hip and knee recons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dcf046b1a58f545eda1634d399eb2e1
https://doi.org/10.1007/s00264-022-05346-9
https://doi.org/10.1007/s00264-022-05346-9
Autor:
Alexia Tran, Louis Lassalle, Pascal Zille, Raphaël Guillin, Etienne Pluot, Chloé Adam, Martin Charachon, Hugues Brat, Maxence Wallaert, Gaspard d’Assignies, Benoît Rizk
Publikováno v:
European radiologyReferences. 32(12)
To develop a deep-learning algorithm for anterior cruciate ligament (ACL) tear detection and to compare its accuracy using two external datasets.A database of 19,765 knee MRI scans (17,738 patients) issued from different manufacturers and magnetic fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31a6b47e4123741e2b5445cfce11d7fa
https://pubmed.ncbi.nlm.nih.gov/35726103
https://pubmed.ncbi.nlm.nih.gov/35726103
Autor:
Ralph Sinkus, Gwenaël Pagé, Valérie Vilgrain, Gaspard d’Assignies, Philippe Garteiser, Helena S. Leitão, Bernard E. Van Beers
Publikováno v:
Scientific Reports
Scientific Reports, 2021, 11, pp.19386. ⟨10.1038/s41598-021-98726-x⟩
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports, Nature Publishing Group, 2021, 11, pp.19386. ⟨10.1038/s41598-021-98726-x⟩
Scientific Reports, 2021, 11, pp.19386. ⟨10.1038/s41598-021-98726-x⟩
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports, Nature Publishing Group, 2021, 11, pp.19386. ⟨10.1038/s41598-021-98726-x⟩
The purpose of this study was to assess the diagnostic value of multifrequency MR elastography for grading necro-inflammation in the liver. Fifty participants with chronic hepatitis B or C were recruited for this institutional review board-approved s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1096f679ea3cfdb1917b6710e2b0d14f
http://europepmc.org/articles/PMC8481240
http://europepmc.org/articles/PMC8481240
Autor:
Behr, Julien, Grob, Charles, Zille, Pascal, Gaspard, d’Assignies, Herpe, Guillaume, Zavastin, Catalin, Pujol, Nicolas, Nich, Christophe
Publikováno v:
In Revue de Chirurgie Orthopedique et Traumatologique December 2023 109(8) Supplement:S319-S319
Autor:
Arshid Azarine, Justine Mougin, Stéphan Haulon, Dominique Fabre, Roberto Ardon, Marc Zins, Gaspard d’Assignies, Chloé Adam
Publikováno v:
Journal of Vascular Surgery. 75:383
Objective The aim of this study was to evaluate an automatic, deep learning based method (Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum aortic diameter, providing cross sectional outer to outer aortic wall measuremen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15942ab12fbcbb1b61323225d508260b
https://doi.org/10.1016/j.jvs.2021.11.045
https://doi.org/10.1016/j.jvs.2021.11.045
Publikováno v:
La Presse Médicale. 46:e279-e287
MRI is now the reference method for detecting and quantifying hepatic and extrahepatic iron overload, regardless of its cause. The decrease of the hepatic signal is proportional to the amount of iron in the tissues. It is more pronounced with T2*-wei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee88e8be2b55d6ce957d5b5ff25e2ef4
https://doi.org/10.1016/j.lpm.2017.10.008
https://doi.org/10.1016/j.lpm.2017.10.008
Autor:
Olivia Hentic, Maxime Ronot, Valérie Vilgrain, Marie-Pierre Vullierme, Francesco Cuccioli, Gaspard d’Assignies, Philippe Ruszniewski, Marco Dioguardi Burgio
Publikováno v:
European Journal of Radiology. 89:156-162
To re-evaluate and compare CT features of neuroendocrine liver metastases (NLM) from pancreatic (p) and enteric (e) gastroenteropancreatic (GEP) tumours.From 2006-2013, all patients with proven GEP-neuroendocrine tumours (NETs) with at least one NLM,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f46bb8e656e0e17c3d0ddfc1d4124b61
https://doi.org/10.1016/j.ejrad.2017.02.007
https://doi.org/10.1016/j.ejrad.2017.02.007