94 citations · 154 across the 5 of their papers we have counts for
5 papers
Structural Connectome Harmonization Using Deep Learning: The Strength of Graph Neural Networks
Jagruti Patel, Thomas A. W. Bolton, Mikkel Schöttner +5
Small sample sizes in neuroimaging in general, and in structural connectome (SC) studies in particular limit the development of reliable biomarkers for neurological and psychiatric…
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…
Slice estimation in diffusion MRI of neonatal and fetal brains in image and spherical harmonics domains using autoencoders
Hamza Kebiri, Gabriel Girard, Yasser Aleman-Gomez +4
Diffusion MRI (dMRI) of the developing brain can provide valuable insights into the white matter development. However, slice thickness in fetal dMRI is typically high (i.e., 3-5 mm…
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…
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…