Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Caroline Raynaud"'
Autor:
Vincent Couteaux, Cheng Zhang, Sébastien Mulé, Laurent Milot, Pierre-Jean Valette, Caroline Raynaud, Anna Sesilia Vlachomitrou, Cybele Ciofolo-Veit, Littisha Lawrance, Younes Belkouchi, Valérie Vilgrain, Maité Lewin, Hervé Trillaud, Christine Hoeffel, Valérie Laurent, Samy Ammari, Eric Morand, Orphee Faucoz, Arthur Tenenhaus, Hugues Talbot, Alain Luciani, Nathalie Lassau, Carole Lazarus
Publikováno v:
Diagnostic and Interventional Imaging
Diagnostic and Interventional Imaging, 2023, ⟨10.1016/j.diii.2023.01.003⟩
Diagnostic and Interventional Imaging, 2023, ⟨10.1016/j.diii.2023.01.003⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8b467d877ee52ed8d06a483d1f920b5
https://hal.science/hal-03961793
https://hal.science/hal-03961793
Autor:
Pascal Kbaier, Alexandre Popoff, Nathalie Lassau, Isabelle Thomassin-Naggara, Caroline Raynaud, Héloise Dapvril, Sana Harguem-Zayani, Imad Bousaid, Isabelle Doutriaux-Dumoulin, Foucauld Chamming's, Mathilde Charlot, Luc Ceugnart, Ewan Evain, Thomas Caramella, Antoine Olivier, Joseph Orabona, Corinne Balleyguier, Tiphaine Fourquet, Cybèle Ciofolo-Veit, Michele Monroc, Audrey Haquin
Publikováno v:
Diagnostic and Interventional Imaging. 102:653-658
Purpose The purpose of this study was to create a deep learning algorithm to infer the benign or malignant nature of breast nodules using two-dimensional B-mode ultrasound data initially marked as BI-RADS 3 and 4. Materials and methods An ensemble of
Autor:
Gabriela Hossu, Marine Beaumont, Claire Banasiak, Laurence Rouet, Gaëlle Ambroise Grandjean, Olivier Morel, Cybèle Ciofolo-Veit, Caroline Raynaud
Publikováno v:
BMJ Open
BMJ Open, BMJ Publishing Group, 2019, 9 (12), pp.e031777. ⟨10.1136/bmjopen-2019-031777⟩
BMJ Open, BMJ Publishing Group, 2019, 9 (12), pp.e031777. ⟨10.1136/bmjopen-2019-031777⟩
ContextVariability in 2D ultrasound (US) is related to the acquisition of planes of reference and the positioning of callipers and could be reduced in combining US volume acquisitions and anatomical structures recognition.ObjectivesThe primary object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aff9f921f57767988440885ff9a7e46d
https://hal.univ-lorraine.fr/hal-03231285/document
https://hal.univ-lorraine.fr/hal-03231285/document
Autor:
David N. Roundhill, Caroline Raynaud, A. Collet Billon, Aris T. Papageorghiou, A. Cavallaro, G. Harrison, Laurence Rouet, Cybèle Ciofolo-Veit, Benoit Mory, Ibtisam Salim
Publikováno v:
Ultrasound in obstetricsgynecology : the official journal of the International Society of Ultrasound in Obstetrics and GynecologyREFERENCES. 54(5)
Objective To evaluate whether an automated tool can recognize a structure of interest and measure fetal head circumference (HC), abdominal circumference (AC) and femur length (FL) on frozen two-dimensional ultrasound images. Methods Ultrasound examin
Autor:
Laurence Rouet, Cybèle Ciofolo-Veit, Ibtisam Salim, Thierry Lefevre, Roberto Ardon, Caroline Raynaud, Aris T. Papageorghiou, A. Cavallaro
Publikováno v:
Fetal, Infant and Ophthalmic Medical Image Analysis ISBN: 9783319675602
FIFI/OMIA@MICCAI
FIFI/OMIA@MICCAI
3D ultrasound (US) is a promising technique to perform automatic extraction of standard planes for fetal anatomy assessment. This requires prior organ localization, which is difficult to obtain with direct learning approaches because of the high vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10286470467c8234c6ed89ca59423e81
https://ora.ox.ac.uk/objects/uuid:af00a52b-bc29-43b4-a729-83de1fc11b8a
https://ora.ox.ac.uk/objects/uuid:af00a52b-bc29-43b4-a729-83de1fc11b8a
Autor:
Tobias Klinder, Laurence Rouet, Nicole Schadewaldt, Aris T. Papageorghiou, Caroline Raynaud, A. Cavallaro, Cybèle Ciofolo-Veit, Alexander Schmidt-Richberg, David N. Roundhill, Tom Brosch, Ibtisam Salim, Thierry Lefevre, Cristian Lorenz
Publikováno v:
Medical Imaging: Image Processing
Ultrasound is increasingly becoming a 3D modality. Mechanical and matrix array transducers are able to deliver 3D images with good spatial and temporal resolution. The 3D imaging facilitates the application of automated image analysis to enhance work
Autor:
A. Cavallaro, A. Collet Billon, Ibtisam Salim, Benoit Mory, Cybèle Ciofolo-Veit, Aris T. Papageorghiou, Caroline Raynaud, Laurence Rouet
Publikováno v:
Ultrasound in Obstetrics & Gynecology. 50:180-180