most citedUncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing q-bio.QMShow all

1 paper · 1 filter

q-bio.QM2025

Numerical Uncertainty in Linear Registration: An Experimental Study

Niusha Mirhakimi, Yohan Chatelain, Tristan Glatard +1

While linear registration is a critical step in MRI preprocessing pipelines, its numerical uncertainty is understudied. Using Monte-Carlo Arithmetic (MCA) simulations, we assessed…