3 citations · 9 across the 12 of their papers we have counts for
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eess.IV2023
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis
Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Hae Lang Park +2
This paper investigates the numerical uncertainty of Convolutional Neural Networks (CNNs) inference for structural brain MRI analysis. It applies Random Rounding -- a stochastic ar…
physics.med-ph2023★ 3 cited
A numerical variability approach to results stability tests and its application to neuroimaging
Yohan Chatelain, Loïc Tetrel, Christopher J. Markiewicz +5
Ensuring the long-term reproducibility of data analyses requires results stability tests to verify that analysis results remain within acceptable variation bounds despite inevitabl…