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Ji-Hun Oh

4 papers hereh-index 212 citations6 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CV2
  • eess.IV2

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedAre We Ready for Out-of-Distribution Detection in Digital Pathology?

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

eess.IV2026

Seamless Whole Slide Label-Free Virtual Staining

Dou Hoon Kwark, Kianoush Falahkheirkhah, Ji-hun Oh +3

Label-free virtual staining offers a compelling, non-destructive alternative to standard histopathology; however, its clinical adoption is hindered by the computational bottlenecks…

cs.CV2025

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

Ji-Hun Oh, Kianoush Falahkheirkhah, Rohit Bhargava

Label-free chemical imaging holds significant promise for improving digital pathology workflows, but data acquisition speed remains a limiting factor. To address this gap, we propo…

eess.IV2024

Hallucination Detection in Virtually-Stained Histology: A Latent Space Baseline

Ji-Hun Oh, Kianoush Falahkheirkhah, John Cheville +1

Histopathologic analysis of stained tissue remains central to biomedical research and clinical care. Virtual staining (VS) offers a promising alternative, with potential to reduce…

cs.CV2024★ 1 cited

Are We Ready for Out-of-Distribution Detection in Digital Pathology?

Ji-Hun Oh, Kianoush Falahkheirkhah, Rohit Bhargava

The detection of semantic and covariate out-of-distribution (OOD) examples is a critical yet overlooked challenge in digital pathology (DP). Recently, substantial insight and metho…

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