Kyung-Su Kim

According to our database, Kyung-Su Kim authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

3D unsupervised anomaly detection through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography.

Kyungsu Kim, Seong Je Oh, Ju Hwan Lee, Myung Jin Chung

Expert Syst. Appl., February, 2024

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, Chae Yeon Lim, Joong Bo Shin, Myung Jin Chung, Yong Gi Jung

Comput. Methods Programs Biomed., October, 2023

AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems.

Kyungsu Kim, Ju Hwan Lee, Seong Je Oh, Myung Jin Chung

Comput. Methods Programs Biomed., October, 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

Artif. Intell. Medicine, October, 2023

Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel.

Sungyub Kim, Sihwan Park, Kyung-Su Kim, Eunho Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

CoRR, 2022

Improved Generative Model for Weakly Supervised Chest Anomaly Localization via Pseudo-paired Registration with Bilaterally Symmetrical Data Augmentation.

Kyung-Su Kim, Seong Je Oh, Tae Uk Kim, Myung Jin Chung

CoRR, 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, Seong Je Oh, Ju Hwan Lee, Myung Jin Chung

CoRR, 2022

Low-Dose Computed Tomography Reconstruction without Learning Data: Performance Improvement by Exploiting Joint Correlation Between Adjacent Slices.

Kyung-Su Kim, Chae Yeon Lim, Myung Jin Chung

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

One-Class Classifier for Chest X-Ray Anomaly Detection via Contrastive Patch-Based Percentile.

Kyung-Su Kim, Seong Je Oh, Hyun Bin Cho, Myung Jin Chung

IEEE Access, 2021

Compressed Sensing via Measurement-Conditional Generative Models.

Kyungsu Kim, Jung Hyun Lee, Eunho Yang

IEEE Access, 2021

2020

Tree search network for sparse estimation.

Kyung-Su Kim, Sae-Young Chung

Digit. Signal Process., 2020

2019

Fourier Phase Retrieval With Extended Support Estimation via Deep Neural Network.

Kyung-Su Kim, Sae-Young Chung

IEEE Signal Process. Lett., 2019

Greedy subspace pursuit for joint sparse recovery.

Kyung-Su Kim, Sae-Young Chung

J. Comput. Appl. Math., 2019

Bayesian Approach with Extended Support Estimation for Sparse Regression.

Kyung-Su Kim, Sae-Young Chung

CoRR, 2019

Tree Search Network for Sparse Regression.

Kyung-Su Kim, Sae-Young Chung

CoRR, 2019

2016

Two-stage orthogonal Subspace Matching Pursuit for joint sparse recovery.

Kyung-Su Kim, Sae-Young Chung

Proceedings of the IEEE International Symposium on Information Theory, 2016