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Kyung-Su Kim 0002
Person information
- affiliation: Samsung Medical Center, Seoul, Korea
- affiliation: Korea Advanced Institute of Science and Technology, MLILAB, Daejeon, Korea
Other persons with the same name
- Kyungsu Kim (aka: Kyung-Su Kim, Kyung Su Kim) — disambiguation page
- Kyung-Su Kim 0001 (aka: Kyungsu Kim 0001) — KT Network R&D Lab, Daejeon, Republic of Korea (and 1 more)
- Kyungsu Kim 0003 — Samsung Research, Seoul, Korea
- Kyungsu Kim 0004 — Pohang University of Science and Technology, Department of Creative IT Engineering, Korea
- Kyungsu Kim 0005 — Agency for Defense Development (ADD), South Korea (and 1 more)
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2020 – today
- 2024
- [j9]Kyungsu Kim
, Seong Je Oh
3D unsupervised anomaly detection through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography. Expert Syst. Appl. 236: 121165 (2024) - 2023
- [j8]Subin Park
Automated precision localization of peripherally inserted central catheter tip through model-agnostic multi-stage networks. Artif. Intell. Medicine 144: 102643 (2023) - [j7]Kyungsu Kim
AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems. Comput. Methods Programs Biomed. 240: 107643 (2023) - [j6]Kyungsu Kim
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. Comput. Methods Programs Biomed. 240: 107708 (2023) - [c3]Sungyub Kim, Sihwan Park, Kyung-Su Kim, Eunho Yang:
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. ICLR 2023 - 2022
- [c2]Kyung-Su Kim
Low-Dose Computed Tomography Reconstruction without Learning Data: Performance Improvement by Exploiting Joint Correlation Between Adjacent Slices. ISBI 2022: 1-5 - [i12]Subin Park, Yoon Ki Cha, Soyoung Park, Kyung-Su Kim
Automated Precision Localization of Peripherally Inserted Central Catheter Tip through Model-Agnostic Multi-Stage Networks. CoRR abs/2206.06730 (2022) - [i11]Kyung-Su Kim
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography. CoRR abs/2206.13385 (2022) - [i10]Kyung-Su Kim
AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems. CoRR abs/2206.13504 (2022) - [i9]Kyung-Su Kim
Improved Generative Model for Weakly Supervised Chest Anomaly Localization via Pseudo-paired Registration with Bilaterally Symmetrical Data Augmentation. CoRR abs/2207.10324 (2022) - [i8]Joomee Song, Juyoung Hahm, Jisoo Lee, Chae Yeon Lim, Myung Jin Chung, Jinyoung Youn, Jin Whan Cho, Jong Hyeon Ahn, Kyung-Su Kim:
Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes. CoRR abs/2207.11534 (2022) - [i7]Sungyub Kim, Sihwan Park, Kyungsu Kim
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. CoRR abs/2209.15208 (2022) - [i6]Kyungsu Kim
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. CoRR abs/2211.15950 (2022) - 2021
- [j5]Kyungsu Kim
Compressed Sensing via Measurement-Conditional Generative Models. IEEE Access 9: 155335-155352 (2021) - [j4]Kyung-Su Kim
One-Class Classifier for Chest X-Ray Anomaly Detection via Contrastive Patch-Based Percentile. IEEE Access 9: 168496-168510 (2021) - 2020
- [j3]Kyung-Su Kim
Tree search network for sparse estimation. Digit. Signal Process. 100: 102680 (2020) - [i5]Kyungsu Kim, Jung Hyun Lee, Eunho Yang:
Compressed Sensing via Measurement-Conditional Generative Models. CoRR abs/2007.00873 (2020)
2010 – 2019
- 2019
- [j2]Kyung-Su Kim
Greedy subspace pursuit for joint sparse recovery. J. Comput. Appl. Math. 352: 308-327 (2019) - [j1]Kyung-Su Kim
Fourier Phase Retrieval With Extended Support Estimation via Deep Neural Network. IEEE Signal Process. Lett. 26(10): 1506-1510 (2019) - [i4]Kyung-Su Kim, Sae-Young Chung:
Tree Search Network for Sparse Regression. CoRR abs/1904.00864 (2019) - [i3]Kyung-Su Kim, Sae-Young Chung:
Bayesian Approach with Extended Support Estimation for Sparse Regression. CoRR abs/1904.01818 (2019) - [i2]Kyung-Su Kim, Sae-Young Chung:
Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network. CoRR abs/1904.01821 (2019) - 2016
- [c1]Kyung-Su Kim
Two-stage orthogonal Subspace Matching Pursuit for joint sparse recovery. ISIT 2016: 2374-2378 - [i1]Kyung-Su Kim, Sae-Young Chung:
Greedy Subspace Pursuit for Joint Sparse Recovery. CoRR abs/1601.07087 (2016)
Coauthor Index
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