63 citations · 63 across the 2 of their papers we have counts for
5 papers
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…
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
Hélène Lajous, Tom Hilbert, Christopher W. Roy +12
Relaxometry studies in preterm and at-term newborns have provided insight into brain microstructure, thus opening new avenues for studying normal brain development and supporting d…
Geometric renormalization unravels self-similarity of the multiscale human connectome
Muhua Zheng, Antoine Allard, Patric Hagmann +2
Structural connectivity in the brain is typically studied by reducing its observation to a single spatial resolution. However, the brain possesses a rich architecture organized ove…
A spectrum of routing strategies for brain networks
Andrea Avena-Koenigsberger, Xiaoran Yan, Artemy Kolchinsky +3
Communication of signals among nodes in a complex network poses fundamental problems of efficiency and cost. Routing of messages along shortest paths requires global information ab…
Stochastic resonance and optimal information transfer at criticality on a network model of the human connectome
Bertha Vázquez-Rodríguez, Andrea Avena-Koenigsberger, Olaf Sporns +3
Stochastic resonance is a phenomenon in which noise enhances the response of a system to an input signal. The brain is an example of a system that has to detect and transmit signal…