Kyeonghun Kim
Orcid: 0000-0001-6250-0199
According to our database1,
Kyeonghun Kim authored at least 13 papers
between 2023 and 2026.
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Bibliography
2026
NEMESIS: Noise-suppressed Efficient MAE with Enhanced Superpatch Integration Strategy.
CoRR, April, 2026
MATHENA: Mamba-based Architectural Tooth Hierarchical Estimator and Holistic Evaluation Network for Anatomy.
CoRR, April, 2026
CoRR, April, 2026
COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving.
CoRR, April, 2026
NeoNet: An End-to-End 3D MRI-Based Deep Learning Framework for Non-Invasive Prediction of Perineural Invasion via Generation-Driven Classification.
CoRR, March, 2026
CoRR, March, 2026
3D-LLDM: Label-Guided 3D Latent Diffusion Model for Improving High-Resolution Synthetic MR Imaging in Hepatic Structure Segmentation.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
Losa-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025
Foscu: Feasibility of Synthetic Mri Generation Via Duo-Diffusion Models for Enhancement of 3D U-Nets in Hepatic Segmentation.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2025
2023
Expert Syst. Appl., July, 2023
Inf. Fusion, April, 2023