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Jinah Park

4 papers hereh-index 6224 citations14 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Jinah Park — 6 papers, h 3
  • Jinah Park — 5 papers, h 3
  • Jinah Park — 2 papers, h 17
  • Jinah Park — 2 papers, h 2
  • Jinah Park — 1 paper, h 1

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

activity
20212023
most citedMitosis domain generalization in histopathology images -- The MIDOG challenge

162 citations · 164 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Why is the winner the best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru +122

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…

cs.CV2022★ 1 cited

Joint Embedding of 2D and 3D Networks for Medical Image Anomaly Detection

Inha Kang, Jinah Park

Obtaining ground truth data in medical imaging has difficulties due to the fact that it requires a lot of annotating time from the experts in the field. Also, when trained with sup…

eess.IV2022★ 162 cited

Mitosis domain generalization in histopathology images -- The MIDOG challenge

Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram +32

The density of mitotic figures within tumor tissue is known to be highly correlated with tumor proliferation and thus is an important marker in tumor grading. Recognition of mitoti…

cs.CV2021

Domain-Robust Mitotic Figure Detection with Style Transfer

Youjin Chung, Jihoon Cho, Jinah Park

We propose a new training scheme for domain generalization in mitotic figure detection. Mitotic figures show different characteristics for each scanner. We consider each scanner as…

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