1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
Weakly Supervised Learning with Automated Labels from Radiology Reports for Glioma Change Detection
Tommaso Di Noto, Meritxell Bach Cuadra, Chirine Atat +5
Gliomas are the most frequent primary brain tumors in adults. Glioma change detection aims at finding the relevant parts of the image that change over time. Although Deep Learning…
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…