An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels. - Tommaso Di Noto; Guillaume Marie; Sébastien Tourbier; Yasser Alemán-Gómez; Guillaume Saliou; Meritxell Bach Cuadra; Patric Hagmann; Jonas Richiardi (MLCN/RNO-AI@MICCAI, 2020)

Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA. - Tommaso Di Noto; Guillaume Marie; Sébastien Tourbier; Yasser Alemán-Gómez; Oscar Esteban; Guillaume Saliou; Meritxell Bach Cuadra; Patric Hagmann; Jonas Richiardi (CoRR, 2021)

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. - Kimberley M. Timmins; Irene C. van der Schaaf; Edwin Bennink; Ynte M. Ruigrok; Xingle An; Michael Baumgartner 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge. - Tommaso Di Noto; Guillaume Marie; Sébastien Tourbier; Yasser Alemán-Gómez; Oscar Esteban; Guillaume Saliou; Meritxell Bach Cuadra; Patric Hagmann; Jonas Richiardi (Neuroinformatics, 2023)

LLaMandement: Large Language Models for Summarization of French Legislative Proposals. - Joseph Gesnouin; Yannis Tannier; Christophe Gomes Da Silva; Hatim Tapory; Camille Brier; Hugo Simon; Raphaël Rozenberg; Hermann Woehrel; Mehdi El Yakaabi; Thomas Binder; Guillaume Marie; Emilie Caron; et al. (CoRR, 2024)

Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: a multi-reader study. - Tommaso Di Noto; Sofyan Jankowski; Francesco Puccinelli; Guillaume Marie; Sébastien Tourbier; Yasser Alemán-Gómez; Oscar Esteban; Ricardo Corredor-Jerez; Guillaume Saliou; Patric Hagmann; Meritxell Bach Cuadra; Jonas Richiardi (CoRR, 2025)