81 citations · 159 across the 6 of their papers we have counts for
6 papers
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
Jawook Gu, Kihyun You, Han-Cheol Cho +3
Free-text radiology reports present a rich data source for various medical tasks, but effectively labeling these texts remains challenging. Traditional rule-based labeling methods…
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
Kihyun You, Jawook Gu, Jiyeon Ham +5
A large-scale image-text pair dataset has greatly contributed to the development of vision-language pre-training (VLP) models, which enable zero-shot or few-shot classification wit…
AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising
Jawook Gu, Jong Chul Ye
Recently, deep learning approaches have been extensively studied for low-dose CT denoising thanks to its superior performance despite the fast computational time. In particular, cy…
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN
Junghyun Lee, Jawook Gu, Jong Chul Ye
Metal artifact reduction (MAR) is one of the most important research topics in computed tomography (CT). With the advance of deep learning technology for image reconstruction,vario…
Deep Learning Interior Tomography for Region-of-Interest Reconstruction
Yoseob Han, Jawook Gu, Jong Chul Ye
Interior tomography for the region-of-interest (ROI) imaging has advantages of using a small detector and reducing X-ray radiation dose. However, standard analytic reconstruction s…
Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction
Jawook Gu, Jong Chul Ye
Limited-angle computed tomography (CT) is often used in clinical applications such as C-arm CT for interventional imaging. However, CT images from limited angles suffers from heavy…