2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2026
A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection
Jihyeon Baek, Seunghoon Lee, Gitaek Kwon +1
Out-of-distribution (OOD) detection is essential for building reliable AI systems, as models that produce outputs for invalid inputs cannot be trusted. Although deep learning (DL)…
eess.IV2023★ 2 cited
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Bo Qian, Hao Chen, Xiangning Wang +18
Computer-assisted automatic analysis of diabetic retinopathy (DR) is of great importance in reducing the risks of vision loss and even blindness. Ultra-wide optical coherence tomog…
eess.IV2022★ 2 cited
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity
Gitaek Kwon, Eunjin Kim, Sunho Kim +3
Recently, diabetic retinopathy (DR) screening utilizing ultra-wide optical coherence tomography angiography (UW-OCTA) has been used in clinical practices to detect signs of early D…