3 citations · 6 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
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…
Deepfake histological images for enhancing digital pathology
Kianoush Falahkheirkhah, Saumya Tiwari, Kevin Yeh +6
An optical microscopic examination of thinly cut stained tissue on glass slides prepared from a FFPE tissue blocks is the gold standard for tissue diagnostics. In addition, the dia…
A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections
Kianoush Falahkheirkhah, Tao Guo, Michael Hwang +5
In clinical diagnostics and research involving histopathology, formalin fixed paraffin embedded (FFPE) tissue is almost universally favored for its superb image quality. However, t…
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging
Kianoush Falahkheirkhah, Kevin Yeh, Shachi Mittal +2
Infrared (IR) microscopes measure spectral information that quantifies molecular content to assign the identity of biomedical cells but lack the spatial quality of optical microsco…