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researcher

J. Seo

5 papers hereh-index 5412.7k citations340 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • cs.CV1
same name
  • J. Seo — 96 papers
  • J. Seo — 31 papers, h 9
  • J. Seo — 28 papers, h 48
  • J. Seo — 22 papers, h 29
  • J. Seo — 16 papers, h 9
  • J. Seo — 13 papers, h 5

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
20182022
most citedAI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

79 citations · 117 across the 5 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

eess.IV2021★ 8 cited

Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification

Sangjoon Park, Gwanghyun Kim, Yujin Oh +6

Developing a robust algorithm to diagnose and quantify the severity of COVID-19 using Chest X-ray (CXR) requires a large number of well-curated COVID-19 datasets, which is difficul…

eess.IV2021★ 3 cited

Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer

Gwanghyun Kim, Sangjoon Park, Yujin Oh +6

Under the global pandemic of COVID-19, building an automated framework that quantifies the severity of COVID-19 and localizes the relevant lesion on chest X-ray images has become i…

eess.IV2021★ 27 cited

Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus

Sangjoon Park, Gwanghyun Kim, Yujin Oh +6

Under the global COVID-19 crisis, developing robust diagnosis algorithm for COVID-19 using CXR is hampered by the lack of the well-curated COVID-19 data set, although CXR data with…

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