55 citations · 57 across the 4 of their papers we have counts for
4 papers
SOS: Score-based Oversampling for Tabular Data
Jayoung Kim, Chaejeong Lee, Yehjin Shin +4
Score-based generative models (SGMs) are a recent breakthrough in generating fake images. SGMs are known to surpass other generative models, e.g., generative adversarial networks (…
Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation
Chae Eun Lee, Hyelim Park, Yeong-Gil Shin +1
Semi-supervised learning for medical image segmentation is an important area of research for alleviating the huge cost associated with the construction of reliable large-scale anno…
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
Chae Eun Lee, Minyoung Chung, Yeong-Gil Shin
Recent works in medical image segmentation have actively explored various deep learning architectures or objective functions to encode high-level features from volumetric data owin…
Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization
Minyoung Chung, Jusang Lee, Sanguk Park +4
Dental panoramic X-ray imaging is a popular diagnostic method owing to its very small dose of radiation. For an automated computer-aided diagnosis system in dental clinics, automat…