• Johns Hopkins University School of Medicine
  Department of Radiology, Baltimore, Maryland, USA (2022.12 ~ 2023.01)
  Visiting scholar
  Advisor: Hye-Young Heo

• KAIST
  Daejeon, South Korea (2013.03 ~ 2019.02)
  B.S. in Electrical Engineering and Bio & Brain Engineering

• ISMRM Junior Fellow (2025) [page]

• MICCAI Student Travel Awards (2022)

• ISMRM Summa Cum Laude Merit Awards (2021) [page]

• Taming Gradient Perturbations: Probabilistic Reparameterization for Robust Physics-Informed MRI Protocol Optimization
  Beomgu Kang, Hye-Young Heo, Hyunseok Seo
  ICML AI for Physics Workshop, 2026.

• Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling.
  Beomgu Kang, Hyunseok Seo
  International Conference on Learning Representations (ICLR), 2026. [code]

• Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch models
  Beomgu Kang, Munendra Singh, Hyunseok Seo, Hyun Wook Park and Hye-Young Heo
  Physics in Medicine and Biology (PMB), 2026.

• Saturation transfer MR fingerprinting (ST-MRF) for MTC and CEST quantification
  Munendra Singh, Beomgu Kang, Sultan Z. Mahmud, Peter van Zijl, Jinyuan Zhou, Hye-Young Heo
  Magnetic Resonance in Medicine (MRM), 2025.

• Self-supervised learning for denoising of multidimensional MRI data.
  Beomgu Kang, Wonil Lee, Hyunseok Seo, Hye-Young Heo, and HyunWook Park
  Magnetic Resonance in Medicine (MRM), 2024. [code]

• A noise robust image reconstruction using slice aware cycle interpolator network for parallel imaging in MRI.
  Jeewon Kim, Wonil Lee, Beomgu Kang, Hyunseok Seo, and HyunWook Park
  Medical Physics, 2024.

• Only-train-once MR Fingerprinting for B0 and B1 Inhomogeneity correction in quantitative magnetization-transfer contrast
  Beomgu Kang, Munendra Singh, HyunWook Park, and Hye-Young Heo
  Magnetic Resonance in Medicine (MRM), 2023. [Editor’s Pick in July 2023] [Top 10% of most-viewed papers in 2023] 

• Learning-based optimization of acquisition schedule for magnetization transfer contrast MR fingerprinting
  Beomgu Kang, Byungjai Kim, HyunWook Park, and Hye-Young Heo
  NMR in Biomedicine, 2022.

• Unsupervised learning for magnetization transfer contrast MR fingerprinting: Application to CEST and nuclear Overhauser enhancement imaging
  Beomgu Kang, Byungjai Kim, Michael Schär, HyunWook Park, and Hye-Young Heo
  Magnetic Resonance in Medicine (MRM), 2021. [Editor’s Pick in April 2021] [Top cited article 2021-2022] 

• Deep Probabilistic Multishell Undersampling for Diffusion Spectrum Imaging
  Beomgu Kang, Hyunseok Seo
  International Society of Magnetic Resonance in Medicine (ISMRM), 2026.

• Optimization of acquisition schedules and correction of B0 and B1 field inhomogeneities in saturation transfer MR fingerprinting (ST-MRF)
  Beomgu Kang, Munendra Singh, Hyunseok Seo, HyunWook Park, and Hye-Young Heo
  International Society of Magnetic Resonance in Medicine (ISMRM), 2025.

• Self-supervised deep learning model for denoising and distortion correction in accelerated echo planar imaging
  Jeewon Kim, Beomgu Kang, HyunWook Park, and Hyunseok Seo
  International Society of Magnetic Resonance in Medicine (ISMRM), 2025.

• Only-Train-Once MR Fingerprinting for B0 and B1 Inhomogeneity Correction in Quantitative Magnetization Transfer Contrast.
  Beomgu Kang, Munendra Singh, Hye-Young Heo, and HyunWook Park
  International Society of Magnetic Resonance in Medicine (ISMRM), 2023. [Oral] 

• A noise-robust accelerated MRI reconstruction using CycleGAN
  Seonghyuk Kim, Wonil Lee, Namho Jeong, Jeewon Kim, Jongyeon Lee, Beomgu Kang, and HyunWook Park
  International Society of Magnetic Resonance in Medicine (ISMRM), 2023. [Power Pitch] 

• A noise robust image reconstruction deep neural network with cycle interpolation
  Jeewon Kim, Wonil Lee, Beomgu Kang, Seohee So, and HyunWook Park
  International Society of Magnetic Resonance in Medicine (ISMRM), 2023. 

• Constraint function for IVIM quantification using unsupervised learning.
  Wonil Lee, Beomgu Kang, Jongyeon Lee, Georges El Fakhri, Chao Ma, Yeji Han, Jun-Young Chung, Young Noh, and HyunWook Park
  International Society of Magnetic Resonance in Medicine (ISMRM), 2023. 

• Brain tumor segmentation using out-of-distribution feature from normal MR images
  Namho Jeong, Beomgu Kang, and Hyunwook Park.
  International Society of Magnetic Resonance in Medicine (ISMRM), 2023.

• Learning-based prediction of encoding capability for acquisition schedule of Magnetization Transfer Contrast MR fingerprinting
  Beomgu Kang, Hye-Young Heo, and HyunWook Park.
  International Society of Magnetic Resonance in Medicine (ISMRM), 2022.

• Multi-modal Characteristic Guided Depth Completion Network.
  Yongjin Lee, Seokjun Park, Beomgu Kang, and HyunWook Park
  Asian Conference on Computer Vision (ACCV), 2022.

• Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification
  Beomgu Kang, Hye-Young Heo, and HyunWook Park
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2022. [Early accept]

• Learning-based Optimization of Acquisition Schedule for Magnetization Transfer Contrast MR Fingerprinting
  Beomgu Kang, Byungjai Kim, Hye-Young Heo, and HyunWook Park
  International Society of Magnetic Resonance in Medicine (ISMRM), 2021. [Oral] [Summa Cum Laude] 

• Unsupervised Deep Learning-based Magnetization Transfer Contrast (MTC) MR Fingerprinting and CEST MRI
  Beomgu Kang, Byungjai Kim, Michael Schär, HyunWook Park, and Hye-Young Heo
  International Society of Magnetic Resonance in Medicine (ISMRM), 2020. [Power Pitch] 

MRM, ISMRM, AAAI, ICML (2026 Silver Reviewer), NeurIPS, TMLR