Zobrazeno 1 - 10 of 26 pro vyhledávání: '"Benoit Chauveau"'
1
Akademický článek
Protocol for the e-POWUS Project: multicentre blinded-randomised controlled trial of ultrasound speed choice to improve sonography quality in pregnant women with obesity
Autor: Charline Mourgues, Anne Legrand, Amélie Delabaere, Didier Lemery, Benoit Chauveau, Amandine Ollier, Candy Guiguet-Auclair
Publikováno v: BMJ Open, Vol 11, Iss 9 (2021)
Introduction During pregnancy, maternal obesity increases the risk of fetal abnormalities. Despite advances in ultrasound imaging, the assessment of fetal anatomy is less thorough among these women. Currently, the construction of ultrasound images us
Externí odkaz: https://doaj.org/article/ddcc96e7da0f4089a45bed4e94a5badc
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2
Akademický článek
3D Numerical Modelling and Sensitivity Analysis of the Processes Controlling Organic Matter Distribution and Heterogeneity—A Case Study from the Toarcian of the Paris Basin
Autor: Benjamin Bruneau, Marc Villié, Mathieu Ducros, Benoit Chauveau, François Baudin, Isabelle Moretti
Publikováno v: Geosciences, Vol 8, Iss 11, p 405 (2018)
The active debate about the processes governing the organic-rich sediment deposition generally involves the relative roles of elevated primary productivity and enhanced preservation related to anoxia. However, other less spotlighted factors could hav
Externí odkaz: https://doaj.org/article/89d2d148b97e454c978e8e17a6f2dc3d
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3
Douleurs abdominales aiguës, non obstétricales, chez la femme enceinte : place de l’imagerie
Autor: Constance Hordonneau, Benoît Magnin, Benoit Chauveau
Publikováno v: Imagerie de la Femme. 31:145-152
Resume Les douleurs abdominales aigues sont frequentes lors de la grossesse et resultent de multiples etiologies. Devant un examen clinique souvent difficile, l’imagerie a une place importante dans la demarche diagnostique. Cependant, le choix de l
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a73e9e4dcd77e4c1299d1128d76f88a1
https://doi.org/10.1016/j.femme.2021.05.005
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5
Akademický článek
Deep learning CT reconstruction improves liver metastases detection
Autor: Achraf Kanan, Bruno Pereira, Constance Hordonneau, Lucie Cassagnes, Eléonore Pouget, Léon Appolinaire Tianhoun, Benoît Chauveau, Benoît Magnin
Publikováno v: Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives Detection of liver metastases is crucial for guiding oncological management. Computed tomography through iterative reconstructions is widely used in this indication but has certain limitations. Deep learning image reconstructions
Externí odkaz: https://doaj.org/article/439f9f22e2e04f53a50b3577df1f44d3
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6
Multicenter External Validation of the Deep Pelvic Endometriosis Index Magnetic Resonance Imaging Score
Autor: Isabelle Thomassin-Naggara, Michele Monroc, Benoit Chauveau, Arnaud Fauconnier, Pauline Verpillat, Yohann Dabi, Marie Gavrel, Pierre-Adrien Bolze, Emile Darai, Cyril Touboul, Samia Lamrabet, Pierre Collinet, Elise Zareski, Nicolas Bourdel, Horace Roman, Pascal Rousset
Publikováno v: JAMA Network Open. 6:e2311686
ImportancePreoperative mapping of deep pelvic endometriosis (DPE) is crucial as surgery can be complex and the quality of preoperative information is key.ObjectiveTo evaluate the Deep Pelvic Endometriosis Index (dPEI) magnetic resonance imaging (MRI)
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c110d2fb56f85cf4cb9b0d8e04e2d4c7
https://doi.org/10.1001/jamanetworkopen.2023.11686
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8
Metastatic melanoma treated by immunotherapy: discovering prognostic markers from radiomics analysis of pretreatment CT with feature selection and classification
Autor: Gulnur Ungan, Anne-Flore Lavandier, Jacques Rouanet, Constance Hordonneau, Benoit Chauveau, Bruno Pereira, Louis Boyer, Jean-Marc Garcier, Sandrine Mansard, Adrien Bartoli, Benoit Magnin
Publikováno v: International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery, 2022, 17 (10), pp.1867-1877. ⟨10.1007/s11548-022-02662-8⟩
Immunotherapy has dramatically improved the prognosis of patients with metastatic melanoma (MM). Yet, there is a lack of biomarkers to predict whether a patient will benefit from immunotherapy. Our aim was to create radiomics models on pretreatment c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2350cb5bcc0f5c49c1bfc7a2258e0ca5
https://pubmed.ncbi.nlm.nih.gov/35650345
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9
Protocol for the e-POWUS Project: multicentre blinded-randomised controlled trial of ultrasound speed choice to improve sonography quality in pregnant women with obesity
Autor: Amélie Delabaere, Candy Guiguet-Auclair, Benoit Chauveau, Anne Marie Legrand, Didier Lémery, Amandine Ollier, Charline Mourgues
Publikováno v: BMJ Open
BMJ Open, BMJ Publishing Group, 2021, 11 (9), pp.e038684. ⟨10.1136/bmjopen-2020-038684⟩
BMJ Open, Vol 11, Iss 9 (2021)
BMJ Open, 2021, 11 (9), pp.e038684. ⟨10.1136/bmjopen-2020-038684⟩
IntroductionDuring pregnancy, maternal obesity increases the risk of fetal abnormalities. Despite advances in ultrasound imaging, the assessment of fetal anatomy is less thorough among these women. Currently, the construction of ultrasound images use
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7a86ded99a192a7a4d268a88d72492f
https://pubmed.ncbi.nlm.nih.gov/34548341
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10
Modelling soil organic matter at long-time and landscape scales
Autor: Julien Coatléven, Benoit Chauveau, Benjamin Bruneau
Publikováno v: European Geosciences Union General Assembly 2021 (EGU 2021)
European Geosciences Union General Assembly 2021 (EGU 2021), Apr 2021, online, Austria., ⟨10.5194/egusphere-egu21-12271⟩
European Geosciences Union General Assembly 2021 (EGU 2021), Apr 2021, online, Austria. ⟨10.5194/egusphere-egu21-12271⟩
Understanding and simulating the soil organic matter had become a key challenge to better predict the landscape dynamic and its evolution. Although numerical modelling developments already integrate soil organic matter to improve agricultural practic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e08c9eb00a0dee15099c91691c7d5f1
https://insu.hal.science/insu-03226284
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