Laboratoire Traitement et Communication de l’Information

An interpretable deep learning method for early hepatocellular carcinoma diagnosis on multiphase CT

Abstract Early diagnosis of hepatocellular carcinoma is critical to preserve access to curative treatment options. The Liver Imaging Reporting and Data System (LI-RADS) provides a standardized framework for non-invasive diagnosis on multiphase computed tomography, based on major...

Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation

The emergence of Large Language Models (LLMs) presents a dual challenge in the fight against disinformation. These powerful tools, capable of generating human-like text at scale, can be weaponised to produce sophisticated disinformation, yet they also hold promise for enhancing m...

Kissing Number of Codes: A Survey

The kissing number of a code is the average number of pairs of codewords at minimum distance from each other. It has fundamental applications in determining code performance. Besides, a recent interest has arisen from the field of side-channel analysis of algorithms handling sens...

OmniTraj: Pre-training on heterogeneous data for adaptive and zero-shot human trajectory prediction

Accurate trajectory prediction of vulnerable road users is a cornerstone of safe autonomous driving and intelligent transportation systems. While large-scale pre-training has advanced this field, achieving robust zero-shot generalization remains a critical challenge for real-worl...