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researcher

Justin M. Ko

2 papers hereh-index 482 citations9 works total

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

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedCrowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset

22 citations · 22 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CY2024★ 22 cited

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset

Abbi Ward, Jimmy Li, Julie Wang +17

Background: Health datasets from clinical sources do not reflect the breadth and diversity of disease in the real world, impacting research, medical education, and artificial intel…

eess.IV2024

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings

Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong +23

Recently, there has been great progress in the ability of artificial intelligence (AI) algorithms to classify dermatological conditions from clinical photographs. However, little i…

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