Kanghyun Ryu

23 papers A* 2A 1B 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Regional-aware and sequence-informed multi-decoder network for robust brain glioma segmentation in multi-parametric MRI.
Comput. Biol. Medicine
Abbas Mohamed Rezk, Abdulkhalek Al-Fakih, Abdullah Shazly, Vivek Kumar Singh, Yun Hwa Roh, Kanghyun Ryu, Mohammed A. Al-masni
2025 J jnl
CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks.
CoRR
Seoyeon Choi, Kanghyun Ryu, Jonghoon Ock, Negar Mehr
2025 J jnl
CoMed-SAM: Collaborative Medical SAM for Multi-Modality Image Segmentation.
IEEE Access
Minkyu Kim, Kanghyun Ryu, Yoseob Han
2025 A* conf
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills Using Large Language Models.
ICRA
Kanghyun Ryu, Qiayuan Liao, Zhongyu Li, Payam Delgosha, Koushil Sreenath, Negar Mehr
2025 J jnl
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories.
CoRR
Jean-Baptiste Bouvier, Kanghyun Ryu, Kartik Nagpal, Qiayuan Liao, Koushil Sreenath, Negar Mehr
2025 — conf
IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving.
ITSC
Kanghyun Ryu, Minjun Sung, Piyush Gupta, Jovin D'sa, Faizan M. Tariq, David Isele, Sangjae Bae
2025 J jnl
IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving.
CoRR
Kanghyun Ryu, Minjun Sung, Piyush Gupta, Jovin D'sa, Faizan M. Tariq, David Isele, Sangjae Bae
2025 A conf
Improving Pelvic MR-CT Image Alignment with Self-Supervised Reference-Augmented Pseudo-CT Generation Framework.
WACV
Daniel Kim, Mohammed A. Al-masni, Jaehun Lee, Dong-Hyun Kim, Kanghyun Ryu
2025 J jnl
Learning robust brain tumor segmentation under label corruption and data scarcity.
Eng. Appl. Artif. Intell.
Abdulkhalek Al-Fakih, Abbas Mohamed Rezk, Abdullah Shazly, Kanghyun Ryu, Mohammed A. Al-masni
2025 J jnl
MRI Retrospective Respiratory Gating and Cardiac Sensing by CW Doppler Radar: A Feasibility Study.
IEEE Trans. Biomed. Eng.
Wonje Lee, Kanghyun Ryu, Zhitao Li, Julio Oscanoa, Yuxin Wu, Fraser Robb, Shreyas Vasanawala, John M. Pauly, Greig C. Scott
2025 J jnl
Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions.
Comput. Medical Imaging Graph.
Jaehun Lee, Daniel Kim, Taehun Kim, Mohammed A. Al-masni, Yoseob Han, Dong-Hyun Kim, Kanghyun Ryu
2025 — conf
Overcoming Data Scarcity: Brain Tumor Segmentation in Pediatric and African Populations.
DEMI@MICCAI
Abdulkhalek Al-Fakih, Abbas Mohamed Rezk, Abdullah Shazly, Kanghyun Ryu, Mohammed A. Al-masni
2025 — conf
Robust Glioblastoma Segmentation Across Multi-modal MRI: A Study on BraTS 2025 Challenge, Task 5 (Sub-Saharan Africa).
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Abbas Mohamed Rezk, Abdulkhalek Al-Fakih, Abdullah Shazly, Kanghyun Ryu, Mohammed A. Al-masni
2025 J jnl
SSTRAC: Skeleton-Based Dual-Stream Spatio-Temporal Transformer for Repetitive Action Counting in Videos.
IEEE Access
Jungjun Lim, Donghoon Kang, Kanghyun Ryu, Je Hyeong Hong
2024 J jnl
Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios.
CoRR
Emma Clark, Kanghyun Ryu, Negar Mehr
2024 — conf
Adaptive teaching in heterogeneous agents: Balancing surprise in sparse reward scenarios.
L4DC
Emma Clark, Kanghyun Ryu, Negar Mehr
2024 J jnl
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models.
CoRR
Kanghyun Ryu, Qiayuan Liao, Zhongyu Li, Koushil Sreenath, Negar Mehr
2024 A* conf
Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds.
ICRA
Kanghyun Ryu, Negar Mehr
2024 J jnl
Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds.
CoRR
Kanghyun Ryu, Negar Mehr
2024 J jnl
Risk-Sensitive Orbital Debris Collision Avoidance using Distributionally Robust Chance Constraints.
CoRR
Kanghyun Ryu, Jean-Baptiste Bouvier, Shazaib Lalani, Siegfried Eggl, Negar Mehr
2023 B conf
Diffusion Probabilistic Models-based Noise Reduction for Enhancing the Quality of Medical Images.
RO-MAN
Jae-Hun Lee, Yoonho Nam, Dong-Hyun Kim, Kanghyun Ryu
2021 — conf
K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency.
ICCVW
Kanghyun Ryu, Cagan Alkan, Chanyeol Choi, Ikbeom Jang, Shreyas Vasanawala
2020 J jnl
Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks.
IEEE Access
Hunjin Chung, Koung Mi Kang, Mohammed A. Al-masni, Chul-Ho Sohn, Yoonho Nam, Kanghyun Ryu, Dong-Hyun Kim