1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2022
Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation
Kyungsu Kim, Seong Je Oh, Chae Yeon Lim +3
Image translation based on a generative adversarial network (GAN-IT) is a promising method for the precise localization of abnormal regions in chest X-ray images (AL-CXR) even with…
eess.IV2022★ 1 cited
AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems
Kyung-Su Kim, Ju Hwan Lee, Seong Je Oh +1
Compared with chest X-ray (CXR) imaging, which is a single image projected from the front of the patient, chest digital tomosynthesis (CDTS) imaging can be more advantageous for lu…
eess.IV2022★ 1 cited
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography
Kyung-Su Kim, Seong Je Oh, Ju Hwan Lee +1
Computer-aided diagnosis for low-dose computed tomography (CT) based on deep learning has recently attracted attention as a first-line automatic testing tool because of its high ac…