2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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 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…