3 papers
cs.CV2026
Anatomy of a failure: When, how, and why deep vision fails in scientific domains
Ji-Hun Oh, Dou Hoon Kwark, Kianoush Falahkheirkhah +4
Mirroring its ubiquity in popular media and all human activities, the use of deep learning (DL) is rapidly growing in scientific imaging modalities. However, unlike everyday RGB pi…
eess.IV2026
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.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…