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In'es Gonzalez-Pepe

3 papers hereh-index 15 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • math.NA1

identity via Semantic Scholar / OpenAlex

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

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing math.NAShow all

1 paper · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.