Kyungho Yoon

18 papers Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Real-time prediction of breast cancer sites using deformation-aware graph neural network.
Eng. Appl. Artif. Intell.
Kyunghyun Lee, Yong-Min Shin, Minwoo Shin, Jihun Kim, Sunghwan Lim, Won-Yong Shin, Kyungho Yoon
2025 — conf
Acoustic Simulation with Deep Learning for Low-Intensity Transcranial Focused Ultrasound Digital Twins.
DT4H@MICCAI
Minjee Seo, Minwoo Shin, Gunwoo Noh, Seung-Schik Yoo, Kyungho Yoon
2025 J jnl
Deep learning-based real-time estimation of transcranial focused ultrasound acoustic field.
Eng. Appl. Artif. Intell.
Minyeong Jang, Minwook Choi, Insu Jeong, Seung-Schik Yoo, Kyungho Yoon, Gunwoo Noh
2025 — conf
DeformMLP: Effective Deformation Prediction for Breast Cancer Using Graph Topology-Assisted MLPs.
DT4H@MICCAI
Yong-Min Shin, Kyunghyun Lee, Sunghwan Lim, Kyungho Yoon, Won-Yong Shin
2025 J jnl
Local stress fields prediction using global displacement through Fourier neural operators.
J. Comput. Des. Eng.
Minwoo Shin, Minjee Seo, Hayoung Choi, Jaemin Jung, Kyungho Yoon
2025 J jnl
Real-time prediction of breast cancer sites using deformation-aware graph neural network.
CoRR
Kyunghyun Lee, Yong-Min Shin, Minwoo Shin, Jihun Kim, Sunghwan Lim, Won-Yong Shin, Kyungho Yoon
2025 — conf
Towards Digital Twin of RF Ablation: Real-Time Prediction of Time-Dependent Thermal Effects Using Transformer.
DT4H@MICCAI
Seonaeng Cho, Minjee Seo, Minwoo Shin, Kyungho Yoon
2024 J jnl
Multi-modal networks for real-time monitoring of intracranial acoustic field during transcranial focused ultrasound therapy.
Comput. Methods Programs Biomed.
Minjee Seo, Minwoo Shin, Gunwoo Noh, Seung-Schik Yoo, Kyungho Yoon
2024 J jnl
PhysRFANet: Physics-guided neural network for real-time prediction of thermal effect during radiofrequency ablation treatment.
Eng. Appl. Artif. Intell.
Minwoo Shin, Minjee Seo, Seonaeng Cho, Juil Park, Joon Ho Kwon, Deukhee Lee, Kyungho Yoon
2024 J jnl
tFUSFormer: Physics-Guided Super-Resolution Transformer for Simulation of Transcranial Focused Ultrasound Propagation in Brain Stimulation.
IEEE J. Biomed. Health Informatics
Minwoo Shin, Minjee Seo, Seung-Schik Yoo, Kyungho Yoon
2023 J jnl
Laser-tissue interaction simulation considering skin-specific data to predict photothermal damage lesions during laser irradiation.
J. Comput. Des. Eng.
Hyo-Jin Kim, Seung-Hoon Um, Yong Guk Kang, Minwoo Shin, Hojeong Jeon, Beop-Min Kim, Deukhee Lee, Kyungho Yoon
2023 J jnl
Multivariable-incorporating super-resolution residual network for transcranial focused ultrasound simulation.
Comput. Methods Programs Biomed.
Minwoo Shin, Zhuogang Peng, Hyo-Jin Kim, Seung-Schik Yoo, Kyungho Yoon
2023 J jnl
PhysRFANet: Physics-Guided Neural Network for Real-Time Prediction of Thermal Effect During Radiofrequency Ablation Treatment.
CoRR
Minwoo Shin, Minjee Seo, Seonaeng Cho, Juil Park, Joon Ho Kwon, Deukhee Lee, Kyungho Yoon
2022 J jnl
Deep Neural Network for Navigation of a Single-Element Transducer During Transcranial Focused Ultrasound Therapy: Proof of Concept.
IEEE J. Biomed. Health Informatics
Minwook Choi, Minyeong Jang, Seung-Schik Yoo, Gunwoo Noh, Kyungho Yoon
2022 J jnl
Differential evolution method to find optimal location of a single-element transducer for transcranial focused ultrasound therapy.
Comput. Methods Programs Biomed.
Tae Young Park, Hyo-Jin Kim, So Hui Park, Won Seok Chang, Hyungmin Kim, Kyungho Yoon
2018 J jnl
Focused ultrasound brain stimulation to anesthetized rats induces long-term changes in somatosensory evoked potentials.
Int. J. Imaging Syst. Technol.
Seung-Schik Yoo, Kyungho Yoon, Phillip Croce, Amanda Cammalleri, Ryan W. Margolin, Wonhye Lee
2015 J jnl
Group Decision Procedure to Model the Dependency Structure of Complex Systems: Framework and Case Study for Critical Infrastructures.
Syst. Eng.
Jukrin Moon, Dongoo Lee, Taesik Lee, Jaemyung Ahn, Jindong Shin, Kyungho Yoon, Dongsik Choi
2011 — conf
New Methodology of Modal Analysis for a Dual Cooled Fuel Rod with and without Water in a Flow Channel.
ICCSA Workshops
Jaeyong Kim, Kanghee Lee, Kyungho Yoon, HyungKyu Kim, Sungho Ko