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Rima Arnaout

6 papers hereh-index 440 citations11 works total

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

author position
  • middle author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • cs.CV1
  • cs.IT1
  • eess.IV1
same name
  • Rima Arnaout — 5 papers, h 19
  • Rima Arnaout — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAre foundation models efficient for medical image segmentation?

4 citations · 5 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

1 paper · 1 filter

eess.IV2023★ 4 cited

Are foundation models efficient for medical image segmentation?

Danielle Ferreira, Rima Arnaout

Foundation models are experiencing a surge in popularity. The Segment Anything model (SAM) asserts an ability to segment a wide spectrum of objects but required supervised training…

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