Zobrazeno 1 - 10
of 431
pro vyhledávání: '"Vincent, Olivier"'
Publikováno v:
Phys. Rev. Fluids 9, 064202 (2024)
We study transport in synthetic, bi-disperse porous structures, with arrays of microchannels interconnected by a nanoporous layer. These structures are inspired by the xylem tissue in vascular plants, in which sap water travels from the roots to the
Externí odkaz:
http://arxiv.org/abs/2402.14628
Autor:
Moss, Adam, Bergeron, P., Kilic, Mukremin, Jewett, Gracyn, Brown, Warren R., Kosakowski, Alekzander, Vincent, Olivier
We report the discovery of spectroscopic variations in the magnetic DBA white dwarf SDSS J091016.43+210554.2. Follow-up time-resolved spectroscopy at the Apache Point Observatory (APO) and the MMT show significant variations in the H absorption lines
Externí odkaz:
http://arxiv.org/abs/2312.05749
The next generation of spectroscopic surveys is expected to provide spectra for hundreds of thousands of white dwarf (WD) candidates in the upcoming years. Currently, spectroscopic classification of white dwarfs is mostly done by visual inspection, r
Externí odkaz:
http://arxiv.org/abs/2301.05209
Autor:
Paquet, Mireille
Publikováno v:
Canadian Journal of Political Science / Revue canadienne de science politique, 2009 Sep 01. 42(3), 827-829.
Externí odkaz:
https://www.jstor.org/stable/27754529
While multiple studies have explored the relation between inter-rater variability and deep learning model uncertainty in medical segmentation tasks, little is known about the impact of individual rater style. This study quantifies rater style in the
Externí odkaz:
http://arxiv.org/abs/2105.02197
Autor:
Lemay, Andreanne, Gros, Charley, Vincent, Olivier, Liu, Yaou, Cohen, Joseph Paul, Cohen-Adad, Julien
Medical images are often accompanied by metadata describing the image (vendor, acquisition parameters) and the patient (disease type or severity, demographics, genomics). This metadata is usually disregarded by image segmentation methods. In this wor
Externí odkaz:
http://arxiv.org/abs/2102.09582
Autor:
Gros, Charley, Lemay, Andreanne, Vincent, Olivier, Rouhier, Lucas, Bucquet, Anthime, Cohen, Joseph Paul, Cohen-Adad, Julien
ivadomed is an open-source Python package for designing, end-to-end training, and evaluating deep learning models applied to medical imaging data. The package includes APIs, command-line tools, documentation, and tutorials. ivadomed also includes pre
Externí odkaz:
http://arxiv.org/abs/2010.09984
Publikováno v:
Proc. IAU 15 (2019) 123-126
The {\it Gaia} satellite recently released parallax measurements for $\sim$260,000 high-confidence white dwarf candidates, allowing for precise measurements of their physical parameters. By combining these parallaxes with Pan-STARRS and $u$-band phot
Externí odkaz:
http://arxiv.org/abs/2010.02376
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
Despite recent improvements in medical image segmentation, the ability to generalize across imaging contrasts remains an open issue. To tackle this challenge, we implement Feature-wise Linear Modulation (FiLM) to leverage physics knowledge within the
Externí odkaz:
http://arxiv.org/abs/2003.04377
Autor:
Fevre, Marie-Cecile, SCHILTE, Clotilde, Vincent, Olivier, Hérault, Marie-Christine, Mistral, Thomas, Trouve-Buisson, Thibaut, Picard, Julien, Falcon, Dominique, Bersinger, Samuel, Mourey, Clément, Adolle, Anaïs, Salah, Samia, Manhes, Pauline, Pollet, Angélina, GRECO, Frédéric, CHALARD, kevin, Andréa, Bailleul, Velly, Lionel, Bruder, Nicolas, Inal, Imane, Magand, Clément, Burnol, Laetitia, Morel, Jérôme, PREGNY, Anaèle, FERRE, Jean-Christophe, Bannier, Elise, Lebouvier, Thomas, Caradec, Sophie, Drevet, Claire-Marie, Nadji, Abdelouaid, Lewandowski, Romain, DAILLER, Frédéric, CARRILLON, Romain, GOBERT, Florent, RITZENTHALER, Thomas, LECLERCQ, Mathilde, Dumont, Nathalie, Charpentier, Claire, Alb, Ionel, De Sa, Natalie, Declerck, Nicolas, Boussemart, Pierre, Bellet, Julie, MEAUDRE-DESGOUTTES, Eric, D'ARANDA, Erwan, ESNAULT, Pierre, CHARRUAU, Camille, BELLIER, Rémy, BENARD, Thierry, Carise, Elsa, SEGUIN, Sabrina, Lefrant, Jean Yves, Daurat, Aurélien, Ambert, Audrey, Lebouc, Marie, Hautefeuille, Serge, Escudier, Etienne, Bing, Fabrice, Cosserant, Bernard, Grobost, Romain, Boissy, Camille, Begard, Marc, Guyot, Adrien, Lagarde, Kevin, Caumon, Elodie, Geeraerts, Thomas, POMMIER, Maxime, NABOULSI, Edouard, BEILVERT, Maxime, PARRY, Elodie, Leone, Marc, Zieleskiewicz, Laurent, Duclos, Gary, Arbelot, Charlotte, Carole, Ichai, Hervé, Quintard, Aminata, Diop, Puybasset, Louis, Torkomian, Gregory, Szczot, Magdalena, Kremer, Stephane, Becker, Guillaume, Hecketsweiler, Stephane, ILIC, Dejan, VETTORETTI, Lucie, Grisotto, Coline, Asmolov, Romain, Ehinger, Vincent, Laquay, Nathalie, Chevallier, Virginie, Mahlal, Zahra, LASOCKI, Sigismond, SCHOLASTIQUE, Anne-Sylvie, GAILLARD, Thomas, GERGAUD, Soizic, BARBIER, Emmanuel, TAHON, Florence, KRAINIK, Alexandre, DOJAT, Michel, TROPRES, Irène, VIGUE, Bernard, LEO, Laura, Piriou, Vincent, Coquerel, Antoine, Cracowski, Jean-Luc, Proust, Francois, Mallaret, Michel, Payen, Jean-François *, Launey, Yoann, Chabanne, Russell, Gay, Samuel, Francony, Gilles, Gergele, Laurent, Vega, Emmanuel, Montcriol, Ambroise, Couret, David, Cottenceau, Vincent, Pili-Floury, Sebastien, Gakuba, Clement, Hammad, Emmanuelle, Audibert, Gerard, Pottecher, Julien, Dahyot-Fizelier, Claire, Abdennour, Lamine, Gauss, Tobias, Richard, Marion, Vilotitch, Antoine, Bosson, Jean-Luc, Bouzat, Pierre
Publikováno v:
In The Lancet Neurology November 2023 22(11):1005-1014