Zobrazeno 1 - 10
of 3 266
pro vyhledávání: '"Cherel, A."'
Diffusion models are now the undisputed state-of-the-art for image generation and image restoration. However, they require large amounts of computational power for training and inference. In this paper, we propose lightweight diffusion models for ima
Externí odkaz:
http://arxiv.org/abs/2406.04206
Video inpainting is the task of filling a region in a video in a visually convincing manner. It is very challenging due to the high dimensionality of the data and the temporal consistency required for obtaining convincing results. Recently, diffusion
Externí odkaz:
http://arxiv.org/abs/2311.01090
Autor:
Anne Clavreul, Catherine Guette, Hamza Lasla, Audrey Rousseau, Odile Blanchet, Cécile Henry, Alice Boissard, Mathilde Cherel, Pascal Jézéquel, François Guillonneau, Philippe Menei, Jean‐Michel Lemée
Publikováno v:
Molecular Oncology, Vol 18, Iss 11, Pp 2783-2800 (2024)
Proteomics has been little used for the identification of novel prognostic and/or therapeutic markers in isocitrate dehydrogenase (IDH)‐wildtype glioblastoma (GB). In this study, we analyzed 50 tumor and 30 serum samples from short‐ and long‐te
Externí odkaz:
https://doaj.org/article/ae94e9b8701f4895ae70d006bc3eb111
Autor:
Julien Corné, Véronique Quillien, Florence Godey, Mathilde Cherel, Agathe Cochet, Fanny Le Du, Lucie Robert, Héloïse Bourien, Angélique Brunot, Laurence Crouzet, Christophe Perrin, Claudia Lefeuvre‐Plesse, Véronique Diéras, Thibault De la Motte Rouge
Publikováno v:
Molecular Oncology, Vol 18, Iss 11, Pp 2714-2729 (2024)
Erb‐b2 receptor tyrosine kinase 2 (ERBB2)‐activating mutations are therapeutically actionable alterations found in various cancers, including metastatic breast cancer (MBC). We developed multiplex digital PCR assays to detect and quantify ERBB2 m
Externí odkaz:
https://doaj.org/article/d0a0f127e91c4930a10cc399be686cfa
Autor:
Aurore Perrot, Cyrille Hulin, Ariane Boumendil, Hamza Manjra, Antoine Leveque, Carolyne Croizier, Arthur Dony, Mohamad Mohty, Murielle Roussel, Salomon Manier, Frédérique Orsini-Piocelle, Loic Bauschert, Arthur Bobin, Laurent Frenzel, Laure Vincent, Claire Breal, Jean Richard Eveillard, Thomas Gerome, Mourad Tiab, Emilie Chalayer, Rakiba Belkhir, Clara Mariette, Perrine Moyer, Thomas Chalopin, Brieuc Cherel, Lydia Montes, Arthur Coste, Reza Tabrizi, Lionel Karlin, Daniella Robu, Amandine Huguet, Stéphanie Harel, Philippe Moreau
Publikováno v:
Haematologica, Vol 999, Iss 1 (2024)
Not available.
Externí odkaz:
https://doaj.org/article/9864e91acc354bbaad9722e941f391f4
Autor:
Annasawmy, Pavanee, Ménard, Frédéric, Marsac, Francis, Ternon, Jean-François, Cherel, Yves, Romanov, Evgeny, Le Loc’h, François
Publikováno v:
In Progress in Oceanography December 2024 229
Publikováno v:
Computer Vision and Image Understanding, Volume 238, 2024, 103866
Attention mechanisms have become of crucial importance in deep learning in recent years. These non-local operations, which are similar to traditional patch-based methods in image processing, complement local convolutions. However, computing the full
Externí odkaz:
http://arxiv.org/abs/2202.03163
Autor:
Lemesle, Prescillia, Jouanneau, William, Cherel, Yves, Legroux, Nathan, Ward, Alain, Bustamante, Paco, Chastel, Olivier
Publikováno v:
In Chemosphere September 2024 363
Autor:
Cherel, A., Goyer, I., Magnan, C., Lehoussel, C., Lanos, A., Fazilleau, L., Guillois, B., Rodier, S.
Publikováno v:
In Le Pharmacien Clinicien September 2024 59(3):286-302
Autor:
Roncali, Loris, Marionneau-Lambot, Séverine, Roy, Charlotte, Eychenne, Romain, Gouard, Sébastien, Avril, Sylvie, Chouin, Nicolas, Riou, Jérémie, Allard, Mathilde, Rousseau, Audrey, Guérard, François, Hindré, François, Chérel, Michel, Garcion, Emmanuel
Publikováno v:
In eBioMedicine July 2024 105