Kanghyun Ryu
Orcid: 0000-0002-6075-5590
According to our database1,
Kanghyun Ryu authored at least 22 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
CoRR, May, 2026
Anatomy-guided deep learning for visceral fat segmentation in positron emission tomography-computed tomography.
Eng. Appl. Artif. Intell., 2026
Regional-aware and sequence-informed multi-decoder network for robust brain glioma segmentation in multi-parametric MRI.
Comput. Biol. Medicine, 2026
2025
CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks.
CoRR, September, 2025
CoRR, February, 2025
MRI Retrospective Respiratory Gating and Cardiac Sensing by CW Doppler Radar: A Feasibility Study.
IEEE Trans. Biomed. Eng., January, 2025
Eng. Appl. Artif. Intell., 2025
Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions.
Comput. Medical Imaging Graph., 2025
SSTRAC: Skeleton-Based Dual-Stream Spatio-Temporal Transformer for Repetitive Action Counting in Videos.
IEEE Access, 2025
IEEE Access, 2025
Improving Pelvic MR-CT Image Alignment with Self-Supervised Reference-Augmented Pseudo-CT Generation Framework.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Robust Glioblastoma Segmentation Across Multi-modal MRI: A Study on BraTS 2025 Challenge, Task 5 (Sub-Saharan Africa).
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025
Overcoming Data Scarcity: Brain Tumor Segmentation in Pediatric and African Populations.
Proceedings of the Data Engineering in Medical Imaging - Third MICCAI Workshop, 2025
IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills Using Large Language Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
2024
Risk-Sensitive Orbital Debris Collision Avoidance using Distributionally Robust Chance Constraints.
CoRR, 2024
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models.
CoRR, 2024
Adaptive teaching in heterogeneous agents: Balancing surprise in sparse reward scenarios.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Diffusion Probabilistic Models-based Noise Reduction for Enhancing the Quality of Medical Images.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023
2021
K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks.
IEEE Access, 2020