2026
-
Y. Kim, K. Yoon, and M. Shin, "Nonlinear Effects of Tumor–Aorta Separation on Thermal Coverage During Microwave Ablation: A Transient Multiphysics Analysis", Submitted, 2026.
-
M. Shin and R. G. McClarren, "Moment-preserving collision-split discrete-ordinates transport", Submitted, 2026.
-
Y. Jung, and M. Shin, "NoteSSM: Reducing Local Representation Compression in Long Discharge Summaries via Hierarchical Multi-Span Modeling", Submitted, 2026.
-
M. Shin, "ALO-FPN: Adaptive local-order filtered PN methods for accurate and efficient radiation transport", Submitted, 2026.
-
S. Cho, J. Park, M. Shin, J.-H. Kwon, and K. Yoon, "Learning Multiphysics Dynamics of Microwave Ablation Using a Multimodal Neural Network", Submitted, 2026.
-
H. Ghafoor, M. Shin, and K. Yoon, "Towards Generalizable Ultrasound Segmentation via Physics-Guided Supervision", Submitted, 2025.
-
J. Phee, H. Park, D. Kang, M. Shin, and K. Yoon, "MRI-Informed Multi-Modal Deep Learning for EEG Source Imaging with Subject-Specific Head Structure Recognition", Revision Submitted, 2025.
-
N. Son, and M. Shin, "3D Digital Twin Visualization of Multiclass GRF-Based Gait Disorder Classification", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
-
D. Lee, K. Yoon, and M. Shin, "PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
-
J. Ju, K. Yoon, and M. Shin, "Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
-
Y. Jung, and M. Shin, "Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioblastoma", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
-
Y. Kim, K. Yoon, and M. Shin, "3D Computational Modeling of the Vascular Heat-Sink Effect in Microwave Ablation of Tumors Close to the Aorta", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
-
M. Seol, M. Seo, M. Shin, S.-S. Yoo, and K. Yoon, "Deep Learning Based Real-Time Phase-Amplitude Correction for Phased Array Transducers in Transcranial Focused Ultrasound", Journal of Computational Design and Engineering, Accepted, 2026.
-
K. Lee, Y.-M. Shin, M. Shin, J. Kim, S. Lim, W.-Y. Shin, and K. Yoon, "Real-time Prediction of Breast Cancer Sites using Deformation-Aware Graph Neural Network", Engineering Applications of Artificial Intelligence, 2026.
2025
-
J. Wang, N. Son, S. Kim, and M. Shin, "GRF‑Former: Advanced Transformer-based Model for Multi-Class Gait Disorder Classification using Ground Reaction Force Data", Submitted, 2025.
-
M. Shin, "Dyadic dispersive bounds and endpoint Strichartz estimates for Klein--Gordon equations with radial convolution potentials", Submitted, 2025.
-
M. Shin, M. Seo, H. Choi, J. Jung, and K. Yoon, "Local stress fields prediction using global displacement through Fourier neural operators
", Journal of Computational Design and Engineering, 2025.
2024
-
M. Shin, M. Seo, S. Cho, J. Park, J.H. Kwon, D. Lee, K. Yoon, "PhysRFANet: Physics-guided neural network for real-time prediction of thermal effect during radiofrequency ablation treatment
", Engineering Applications of Artificial Intelligence 138, 109349, 2024
-
M. Seo, M. Shin, G. Noh, S.-S. Yoo, K. Yoon, "Multi-modal networks for real-time monitoring of intracranial acoustic field during transcranial focused ultrasound therapy
", Computer Methods and Programs in Biomedicine, 108458, 2024
-
M. Shin, M. Seo, K. Lee, K. Yoon, "Super-resolution techniques for biomedical applications and challenges
", Biomedical Engineering Letters 14 (3), 465-496, 2024
-
M. Shin, M. Seo, S.-S. Yoo, K. Yoon, "tFUSFormer: Physics-guided super-resolution Transformer for simulation of transcranial focused ultrasound propagation in brain stimulation
", IEEE Journal of Biomedical and Health Informatics 28 (7), 4024-4035, 2024
-
M. Shin, C.D. Hauck, R.G. McClarren, "A collision-based hybrid method for the BGK equation
", Journal of Computational Physics 501, 112784, 2024.
2023
-
B. Whewell, R.G. McClarren, C.D. Hauck, M. Shin, "Multigroup neutron transport using a collision-based hybrid method
", Nuclear science and engineering 197 (7), 1386-1405, 2023.
-
M. Shin, Z. Peng, H.-J. Kim, S.-S. Yoo, K. Yoon, "Multivariable-incorporating super-resolution residual network for transcranial focused ultrasound simulation
", Computer Methods and Programs in Biomedicine 237, 107591, 2023.
-
H.-J. Kim, S.-H. Um, Y.G. Kang, M. Shin, H. Jeon, B.-M. Kim, D. Lee, K. Yoon, "Laser–tissue interaction simulation considering skin-specific data to predict photothermal damage lesions during laser irradiation
", Journal of Computational Design and Engineering 10 (3), 947-958, 2023.
2022 and Before
-
R.G. McClarren, J.A. Rossmanith, M. Shin, "Semi-implicit Hybrid Discrete HNT Approximation of Thermal Radiative Transfer
", Journal of Scientific Computing 90 (1), 2, 2022.
-
M. Shin, "Hybrid discrete (HTN) approximations to the equation of radiative transfer
", Ph.D. thesis, Iowa State University, 2019.
2025
-
S. Cho, M. Seo, M. Shin, K. Yoon, "Towards Digital Twin of RF Ablation: Real-Time Prediction of Time-Dependent Thermal Effects Using Transformer", MICCAI DT4H, 2025.
-
M. Seo, M. Shin, G. Noh, S.-S. Yoo, K. Yoon, "Acoustic Simulation with Deep Learning for Low-intensity Transcranial Focused Ultrasound Digital Twins", MICCAI DT4H, 2025.
2023
-
M. Seo, M. Shin, G. Noh, K. Yoon, "Multi-Modal Generative Adversarial Network for Transcranial Focused Ultrasound Simulation
", 한국통신학회 학술대회논문집, 428-428, 2023.
-
M. Shin, M. Seo, K. Yoon, "Multi-channel Super-Resolution Transformer for the tFUS Simulation
", 대한기계학회 춘추학술대회, 7-7, 2023.
-
M. Seo, M. Shin, K. Yoon, "Real-Time Pressure Field Monitoring of Transcranial Focused Ultrasound using Generation Adversarial Network
", 대한기계학회 춘추학술대회, 88-88, 2023.