60 citations · 60 across the 3 of their papers we have counts for
3 papers
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…
Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge
Tommaso Di Noto, Guillaume Marie, Sebastien Tourbier +6
Brain aneurysm detection in Time-Of-Flight Magnetic Resonance Angiography (TOF-MRA) has undergone drastic improvements with the advent of Deep Learning (DL). However, performances…
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…