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researcher

Ava Kouhana

2 papers hereh-index 2105 citations2 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedFairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

5 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 1 cited

FairCLIP: Harnessing Fairness in Vision-Language Learning

Yan Luo, Min Shi, Muhammad Osama Khan +9

Fairness is a critical concern in deep learning, especially in healthcare, where these models influence diagnoses and treatment decisions. Although fairness has been investigated i…

cs.CV2023★ 5 cited

FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

Yu Tian, Min Shi, Yan Luo +3

Fairness in artificial intelligence models has gained significantly more attention in recent years, especially in the area of medicine, as fairness in medical models is critical to…

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