Two-stage orthogonal Subspace Matching Pursuit for joint sparse recovery. - Kyung-Su Kim 002; Sae-Young Chung (ISIT, 2016)

Tree Search Network for Sparse Regression. - Kyung-Su Kim 002; Sae-Young Chung (CoRR, 2019)

Bayesian Approach with Extended Support Estimation for Sparse Regression. - Kyung-Su Kim 002; Sae-Young Chung (CoRR, 2019)

Greedy subspace pursuit for joint sparse recovery. - Kyung-Su Kim 002; Sae-Young Chung (J. Comput. Appl. Math., 2019)

Fourier Phase Retrieval With Extended Support Estimation via Deep Neural Network. - Kyung-Su Kim 002; Sae-Young Chung (IEEE Signal Process. Lett., 2019)

Tree search network for sparse estimation. - Kyung-Su Kim 002; Sae-Young Chung (Digit. Signal Process., 2020)

Compressed Sensing via Measurement-Conditional Generative Models. - Kyungsu Kim 002; Jung Hyun Lee; Eunho Yang (IEEE Access, 2021)

One-Class Classifier for Chest X-Ray Anomaly Detection via Contrastive Patch-Based Percentile. - Kyung-Su Kim 002; Seong Je Oh; Hyun Bin Cho; Myung Jin Chung (IEEE Access, 2021)

Low-Dose Computed Tomography Reconstruction without Learning Data: Performance Improvement by Exploiting Joint Correlation Between Adjacent Slices. - Kyung-Su Kim 002; Chae Yeon Lim; Myung Jin Chung (ISBI, 2022)

3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography. - Kyung-Su Kim 002; Seong Je Oh; Ju Hwan Lee; Myung Jin Chung (CoRR, 2022)

Improved Generative Model for Weakly Supervised Chest Anomaly Localization via Pseudo-paired Registration with Bilaterally Symmetrical Data Augmentation. - Kyung-Su Kim 002; Seong Je Oh; Tae Uk Kim; Myung Jin Chung (CoRR, 2022)

Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes. - Joomee Song; Juyoung Hahm; Jisoo Lee; Chae Yeon Lim; Myung Jin Chung; Jinyoung Youn; Jin Whan Cho; Jong Hyeon Ahn; Kyung-Su Kim 002 (CoRR, 2022)

Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. - Sungyub Kim; Sihwan Park 001; Kyung-Su Kim 002; Eunho Yang (ICLR, 2023)

Automated precision localization of peripherally inserted central catheter tip through model-agnostic multi-stage networks. - Subin Park; Yoon Ki Cha; Soyoung Park; Myung Jin Chung; Kyung-Su Kim 002 (Artif. Intell. Medicine, 2023)

AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems. - Kyungsu Kim 002; Ju Hwan Lee; Seong Je Oh; Myung Jin Chung (Comput. Methods Programs Biomed., 2023)

Enhanced artificial intelligence-based diagnosis using CBCT with internal denoising: Clinical validation for discrimination of fungal ball, sinusitis, and normal cases in the maxillary sinus. - Kyungsu Kim 002; Chae Yeon Lim; Joong Bo Shin; Myung Jin Chung; Yong Gi Jung (Comput. Methods Programs Biomed., 2023)

3D unsupervised anomaly detection through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography. - Kyungsu Kim 002; Seong Je Oh; Ju Hwan Lee; Myung Jin Chung (Expert Syst. Appl., 2024)

Improved unsupervised 3D lung lesion detection and localization by fusing global and local features: Validation in 3D low-dose computed tomography. - Ju Hwan Lee; Seong Je Oh; Kyungsu Kim 002; Chae Yeon Lim; Seung Hong Choi; Myung Jin Chung (Medical Image Anal., 2025)