activity
20092024
most citedSecure Vehicular Communication Systems: Implementation, Performance, and Research Challenges

254 citations · 261 across the 7 of their papers we have counts for

collaborators

10 papers

cs.CY2024

A safety risk assessment framework for children's online safety based on a novel safety weakness assessment approach

Vinh-Thong Ta

This paper addresses the problem of children's online safety in the context of the growing digital landscape. With a surge in the use of digital technology among children, there ha…

cs.CY2023

On the conformance of Android applications with children's data protection regulations and safeguarding guidelines

Ricardo Lopes, Vinh Thong Ta, Ioannis Korkontzelos

With the rapid development of online technologies and the widespread usage of mobile phones among children, it is crucial to protect their online safety. Some studies reported that…

cs.CR2020

DataProVe: A Data Protection Policy and System Architecture Verification Tool

Vinh Thong Ta

In this paper, we propose a tool, called DataProVe, for specifying high-level data protection policies and system architectures, as well as verifying the conformance between them i…

eess.IV2019

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

Pierrick Coupé, Boris Mansencal, Michaël Clément +5

Whole brain segmentation 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.…

eess.IV2019

Multi-scale Graph-based Grading for Alzheimer's Disease Prediction

Kilian Hett, Vinh-Thong Ta, José V. Manjón +1

The prediction of subjects with mild cognitive impairment (MCI) who will progress to Alzheimer's disease (AD) is clinically relevant, and may above all have a significant impact on…

eess.IV2019

AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation

Pierrick Coupé, Boris Mansencal, Michaël Clément +5

Whole brain segmentation 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.…