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Jin Tae Kwak

3 papers hereh-index 279 citations6 works total

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

author position
  • middle author2
  • last author1

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

fields
  • eess.IV2
  • cs.CV1
same name
  • Jin Tae Kwak — 8 papers, h 4
  • Jin Tae Kwak — 4 papers, h 2
  • Jin Tae Kwak — 3 papers, h 4
  • Jin Tae Kwak — 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

activity
20232026
most citedDomain Generalization in Computational Pathology: Survey and Guidelines

10 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2026

MiTHras: Task-specific Hierarchical Semi-supervised Contrastive Masked Autoencoder for Mitotic Figure Analysis

Trinh T. L. Vuong, Simon Graham, Quoc Dang Vu +5

Mitotic figure (MF) analysis supports tumor grading and prognostic assessment, but automated models remain sensitive to differences in tissue type and image acquisition. We present…

eess.IV2024★ 5 cited

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

Hongwei Bran Li, Fernando Navarro, Ivan Ezhov +77

Uncertainty in medical image segmentation tasks, especially inter-rater variability, arising from differences in interpretations and annotations by various experts, presents a sign…

eess.IV2023★ 10 cited

Domain Generalization in Computational Pathology: Survey and Guidelines

Mostafa Jahanifar, Manahil Raza, Kesi Xu +8

Deep learning models have exhibited exceptional effectiveness in Computational Pathology (CPath) by tackling intricate tasks across an array of histology image analysis application…

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