2 papers
eess.IV2025
Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: a multi-reader study
Tommaso Di Noto, Sofyan Jankowski, Francesco Puccinelli +9
Despite the plethora of AI-based algorithms developed for anomaly detection in radiology, subsequent integration into clinical setting is rarely evaluated. In this work, we assess…
eess.IV2020
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels
Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier +5
A commonly adopted approach to carry out detection tasks in medical imaging is to rely on an initial segmentation. However, this approach strongly depends on voxel-wise annotations…