A Novel Efficient Dynamic Throttling Strategy for Blockchain-Based Intrusion Detection Systems in 6G-Enabled VSNs

Autor: Lampis Alevizos, Vinh Thong Ta, Max Hashem Eiza

Publikováno v: Sensors, Vol 23, Iss 18, p 8006 (2023)

Vehicular Social Networks (VSNs) have emerged as a new social interaction paradigm, where vehicles can form social networks on the roads to improve the convenience/safety of passengers. VSNs are part of Vehicle to Everything (V2X) services, which is

Externí odkaz: https://doaj.org/article/21e1e1d0b8c847a4aa43d5f1859e704e

POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring

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⟩

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

DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation

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⟩

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

AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation

Autor: José V. Manjón, Vinh-Thong Ta, Boris Mansencal, Baudouin Denis de Senneville, Vincent Lepetit, Michaël Clément, Rémi Giraud, Pierrick Coupé

Publikováno v: NeuroImage, Vol 219, Iss, Pp 117026-(2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
NeuroImage
NeuroImage, 2020, 219, pp.117026. ⟨10.1016/j.neuroimage.2020.117026⟩
NeuroImage, Elsevier, 2020, 219, pp.117026. ⟨10.1016/j.neuroimage.2020.117026⟩

[EN] Whole brain segmentation of fine-grained structures using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images. To address this problem, previous DL

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be8ba963c4e0d06c46db64f0ad8ad6a2
http://www.sciencedirect.com/science/article/pii/S1053811920305127

Robust superpixels using color and contour features along linear path

Autor: Nicolas Papadakis, Vinh-Thong Ta, Rémi Giraud

Publikováno v: Computer Vision and Image Understanding
Computer Vision and Image Understanding, Elsevier, 2018

Superpixel decomposition methods are widely used in computer vision and image processing applications. By grouping homogeneous pixels, the accuracy can be increased and the decrease of the number of elements to process can drastically reduce the comp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbc2acfe3b95677914571a77e6b1e071
https://doi.org/10.1016/j.cviu.2018.01.006