• S.J. Park, J.H. Yoon, C.B. Ahn, “Compressed-sensing cardiac CINE MRI using neural network with transfer learning,” Journal of Institute of Korean electrical and electronic engineering, 23(4), 2019, pp. 293-299.
  • S.J. Park, C.B Ahn, “Blended-transfer learning for compressed-sensing cardiac CINE MRI,” Investigative Magnetic Resonance Imaging, 25(1), 2021, DOI: 10.13104/imri.2021.25.1.10
  • S.J. Park, C.G. Lim, C.B. Ahn, “Network slimming for compressed-sensing cardiac CINE MRI,” Electronic Letters, DOI: 10.1049/ell2.12084
  • C.G. Lim, S.J. Park, C.B. Ahn, “Tile-net for compressed-sensing cardiovascular CINE MRI,” Magnetic Resonance Imaging, DOI: 10.1016/j.mri/2021.09.001
  • S.J. Park*, H. Han*, et al., “Towards high generalization performance on electrocardiogram classification,” DOI: 10.23919/CinC53138.2021.9662737
  • J. Jang, S.J. Park, et al., “CNN-based two step R peak detection method: Combining segmentation and regression.,” DOI: 10.1109/EMBC48229.2022.9871227
  • H. Han, S.J. Park, et al., “Improving generalization performance of electrocardiogram classification models,” under review
  • K. Ha, S.J. Park, et al., “A SimSiam-based Generalized Model Training Technique for Classification of ECG from Heterogeneous Devices”, BigComp, under review
  • S. Chon, K. Ha, S.J. Park, et al., “An ECG Beat Classification Method using Multi-kernel ResNet with Transformer”, BigComp, under review