Zobrazeno 1 - 4
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pro vyhledávání: '"Reda Abdellah Kamraoui"'
Publikováno v:
HAL
The detection of new multiple sclerosis (MS) lesions is an important marker of the evolution of the disease. The applicability of learning-based methods could automate this task efficiently. However, the lack of annotated longitudinal data with new-a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa270f0357c06a5806192c1f2a5b9f48
https://doi.org/10.3389/fnimg.2022.948235
https://doi.org/10.3389/fnimg.2022.948235
Autor:
José V. Manjón, Nicolas Papadakis, Pierrick Coupé, Reda Abdellah Kamraoui, Fanny Compaire, Vinh-Thong Ta
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871956
MICCAI (2)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Sep 2021, Strasbourg (virtual), France. pp.373-382, ⟨10.1007/978-3-030-87196-3_35⟩
MICCAI (2)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Sep 2021, Strasbourg (virtual), France. pp.373-382, ⟨10.1007/978-3-030-87196-3_35⟩
International audience; Semi-supervised learning (SSL) uses unlabeled data to compensate for the scarcity of annotated images and the lack of method generalization to unseen domains, two usual problems in medical segmentation tasks. In this work, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22d27b6fd16ccb47351f2c9b8dd5da3a
https://doi.org/10.1007/978-3-030-87196-3_35
https://doi.org/10.1007/978-3-030-87196-3_35
Autor:
Reda Abdellah Kamraoui, Thomas Tourdias, José V. Manjón, Vinh-Thong Ta, Pierrick Coupé, Boris Mansencal
Publikováno v:
Medical Image Analysis
Medical Image Analysis, 2022, 76, pp.102312. ⟨10.1016/j.media.2021.102312⟩
Medical Image Analysis, 2022, 76, pp.102312. ⟨10.1016/j.media.2021.102312⟩
Recently, segmentation methods based on Convolutional Neural Networks (CNNs) showed promising performance in automatic Multiple Sclerosis (MS) lesions segmentation. These techniques have even outperformed human experts in controlled evaluation condit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16c3cab0ffd3cd97a8232ed1a0b3404e
https://pubmed.ncbi.nlm.nih.gov/34894571
https://pubmed.ncbi.nlm.nih.gov/34894571
Publikováno v:
11th International Conference on Quality of Multimedia Experience (QoMEX)
11th International Conference on Quality of Multimedia Experience (QoMEX), Jun 2019, Berlin, Germany. ⟨10.1109/QoMEX.2019.8743284⟩
QoMEX
11th International Conference on Quality of Multimedia Experience (QoMEX), Jun 2019, Berlin, Germany. ⟨10.1109/QoMEX.2019.8743284⟩
QoMEX
Given the wide use of videos in various applications and across different devices, this raises the question of their security and confidentiality. In the last decade, many video encryption methods have been proposed in the literature. Accordingly, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3886e3d6087e69d55c89f6c4cfccd66
https://hal-univ-rennes1.archives-ouvertes.fr/hal-02302606
https://hal-univ-rennes1.archives-ouvertes.fr/hal-02302606