Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Vincent Couteaux"'
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:
Salim Si-Mohamed, Nicolas Villain, Vincent Couteaux, Guillaume Julien Joseph Pizaine, Alexandre Popoff, Isabelle Bloch, Loic Boussel, T. Lefevre, Olivier Pierre Nempont, A. Cotten
Publikováno v:
Diagnostic and Interventional Imaging
Diagnostic and Interventional Imaging, 2019, 100, pp.235-242
Diagnostic and Interventional Imaging, 2019, 100, pp.235-242
Purpose This work presents our contribution to a data challenge organized by the French Radiology Society during the Journees Francophones de Radiologie in October 2018. This challenge consisted in classifying MR images of the knee with respect to th
Autor:
Guillaume Julien Joseph Pizaine, Olivier Pierre Nempont, Vincent Couteaux, Pierre-Jean Valette, Mathilde Trintignac, Laurent Milot, Isabelle Bloch, Anna Sesilia Vlachomitrou
Publikováno v:
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Apr 2021, Nice, France. pp.753-756, ⟨10.1109/ISBI48211.2021.9433767⟩
ISBI
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Apr 2021, Nice, France. pp.753-756, ⟨10.1109/ISBI48211.2021.9433767⟩
ISBI
International audience; We propose a method for segmenting two unregistered images from different modalities of the same patient and study at once, while enforcing a similarity constraint between the two segmentation masks. Our method relies on a seg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b36352100cdeeffda9259493db80b93
https://hal.telecom-paris.fr/hal-03325482
https://hal.telecom-paris.fr/hal-03325482
Publikováno v:
iMIMIC Workshop at MICCAI 2019: Interpretability of Machine Intelligence in Medical Image Computing
iMIMIC Workshop at MICCAI 2019: Interpretability of Machine Intelligence in Medical Image Computing, 2019, Shenzhen, China. pp.56-63
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support ISBN: 9783030338497
iMIMIC/ML-CDS@MICCAI
iMIMIC Workshop at MICCAI 2019: Interpretability of Machine Intelligence in Medical Image Computing, 2019, Shenzhen, China. pp.56-63
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support ISBN: 9783030338497
iMIMIC/ML-CDS@MICCAI
International audience; Interpretability of a neural network can be expressed as the identification of patterns or features to which the network can be either sensitive or indifferent. To this aim, a method inspired by DeepDream is proposed, where th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bdb3ba93f4d4891388f61eba5b11780
https://hal.telecom-paris.fr/hal-02288076
https://hal.telecom-paris.fr/hal-02288076