1 citations · 2 across the 3 of their papers we have counts for
3 papers
Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows
Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky +1
In this paper, we propose an unsupervised framework based on normalizing flows that harmonizes MR images to mimic the distribution of the source domain. The proposed framework cons…
NeoRS: a neonatal resting state fMRI data preprocessing pipeline
V. Enguix, J. Kenley, D. Luck +2
Resting state fMRI (rsfMRI) has been shown to be a promising tool to study intrinsic functional connectivity and assess its integrity in cerebral development. In neonates, where fM…
On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation
Martin Van Waerebeke, Gregory Lodygensky, Jose Dolz
Semi-supervised learning has emerged as an appealing strategy to train deep models with limited supervision. Most prior literature under this learning paradigm resorts to dual-base…