5 citations · 13 across the 3 of their papers we have counts for
3 papers
AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography
Ripon Kumar Saha, A. M. Mahmud Chowdhury, Kyung-Sun Na +6
Purpose: Develop a deep learning-based automated method to segment meibomian glands (MG) and eyelids, quantitatively analyze the MG area and MG ratio, estimate the meiboscore, and…
Holistic random encoding for imaging through multimode fibers
Hwanchol Jang, Changhyeong Yoon, Euiheon Chung +2
The input numerical aperture (NA) of multimode fiber (MMF) can be effectively increased by placing turbid media at the input end of the MMF. This provides the potential for high-re…
Pixelation-free and real-time endoscopic imaging through a fiber bundle
Donggyu Kim, Jungho Moon, Moonseok Kim +4
Endoscopy has been an indispensible tool in medical diagnostics, and yet the demands for reduced unit diameter and enhanced spatial resolution have steadily been growing for the ac…