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math.NA2025★ 1 cited
Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation
Inés Gonzalez-Pepe, Vinuyan Sivakolunthu, Yohan Chatelain +1
Deep learning (DL) has transformed neuroimaging by delivering state-of-the-art performance with reduced computation times. Yet, the numerical uncertainty inherent to DL training re…
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…