B. Yang, S. H. Kim, G. H. Kim, G. Min, I. Jang, D. E. Kye, and H. Lee, “AI based prediction of severe exacerbation in Asian bronchiectasis patients using the KMBARC registry,” Scientific Reports, 2026.

J. Park, W. Kim, H. Shin, H. Kim, and S. Park, “Improving Security X-Ray Screening: Jig-Based Analysis for Enhanced Material Differentiation and Pseudo-Coloring,” IEEE Sensors Letters, 2025.

U. Do, M. Choi, J. W. Choi, S. Y. Shin, S. Park, and K. W. Kang, “PO-07-042 CORRECTED QT INTERVAL AND EXERCISE-INDUCED HEART RATE RECOVERY RATIO PREDICTING RECURRENT SYNCOPE IN PATIENTS WITH NON-CARDIAC SYNCOPE,” Heart Rhythm, vol. 22, no. 4, pp. S750–S751, 2025.

J. Kim, G. H. Kim, J. W. Kim, K. H. Kim, J. Y. Maeng, Y. G. Shin, and S. Park, “Transformer-based model for predicting length of stay in intensive care unit in sepsis patients,” Frontiers in Medicine, vol. 11, Art. no. 1473533, 2025.

E. J. Cheon, G. B. Kim, and S. Park, “Predictive modeling of consecutive intravenous immunoglobulin treatment resistance in Kawasaki disease: a nationwide study,” Scientific Reports, vol. 15, no. 1, Art. no. 903, 2025.

S. Park and Y. G. Shin, “Rethinking image skip connections in StyleGAN2,” IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 7, pp. 13615–13623, 2024.

S. Park and Y. G. Shin, “A novel generator with auxiliary branch for improving GAN performance,” IEEE Transactions on Neural Networks and Learning Systems, 2024.

S. Park and Y. G. Shin, “GRB-STY: redesign of generative residual block for StyleGAN,” ICT Express, vol. 11, no. 2, pp. 223–227, 2025.

G. H. Kim, S. Park, I. A. Choi, H. W. Kwon, H. Moon, J. H. Jung, and C. Kim, “Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain,” Artificial Intelligence in Medicine, vol. 162, Art. no. 103077, 2025.

J. W. Lee, I. S. Yoo, J. H. Kim, W. T. Kim, H. J. Jeon, H. S. Yoo, and Y. J. Kim, “Development of AI-generated medical responses using the ChatGPT for cancer patients,” Computer Methods and Programs in Biomedicine, vol. 254, Art. no. 108302, 2024.

J. Y. Maeng, J. Sung, G. H. Kim, J. W. Kim, K. S. Yum, and S. Park, “Machine learning-based diagnostic model for stroke in non-neurological intensive care unit patients with acute neurological manifestations,” Scientific Reports, vol. 14, no. 1, Art. no. 29610, 2024.

G. H. Kim, J. W. Kim, K. H. Kim, H. Kang, J. Y. Moon, Y. M. Shin, and S. Park, “FT-GAT: Graph neural network for predicting spontaneous breathing trial success in patients with mechanical ventilation,” Computer Methods and Programs in Biomedicine, vol. 240, Art. no. 107673, 2023.

J. E. Im, S. Park, Y. J. Kim, S. A. Yoon, and J. H. Lee, “Predicting the need for intubation within 3 h in the neonatal intensive care unit using a multimodal deep neural network,” Scientific Reports, vol. 13, no. 1, Art. no. 6213, 2023.

J. E. Im, S. A. Yoon, Y. M. Shin, and S. Park, “Real-time prediction for neonatal endotracheal intubation using multimodal transformer network,” IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 6, pp. 2625–2634, 2023.

G. H. Kim, D. H. Lee, J. W. Choi, H. J. Jeon, and S. Park, “Multimodal Neural Network for Recurrence Prediction of Papillary Thyroid Carcinoma,” Advanced Intelligent Systems, vol. 5, no. 2, Art. no. 2200365, 2023.

Y. J. Yeo, M. C. Sagong, S. Park, S. J. Ko, and Y. G. Shin, “Image generation with self pixel-wise normalization,” Applied Intelligence, vol. 53, no. 8, pp. 9409–9423, 2023.

S. Park, C. H. Yoo, and Y. G. Shin, “Effective shortcut technique for generative adversarial networks,” Applied Intelligence, vol. 53, no. 2, pp. 2055–2067, 2023.