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)

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)

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)