| Pepsi: Fast image inpainting with parallel decoding network M Sagong, Y Shin, S Kim, S Park, S Ko Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 148 | 2019 |
| Unsupervised deep contrast enhancement with power constraint for OLED displays YG Shin, S Park, YJ Yeo, MJ Yoo, SJ Ko IEEE Transactions on Image Processing 29, 2834-2844, 2019 | 27 | 2019 |
| Simple yet effective way for improving the performance of GAN YJ Yeo, YG Shin, S Park, SJ Ko IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1811-1818, 2021 | 26 | 2021 |
| Generative residual block for image generation S Park, YG Shin Applied Intelligence, 1-10, 2021 | 15 | 2021 |
| PConv: simple yet effective convolutional layer for generative adversarial network S Park, YJ Yeo, YG Shin Neural Computing and Applications 34 (9), 7113-7124, 2022 | 14* | 2022 |
| Contrast enhancement using sensitivity model-based sigmoid function S Park, YG Shin, SJ Ko IEEE Access 7, 161573-161583, 2019 | 11 | 2019 |
| Generative convolution layer for image generation S Park, YG Shin Neural Networks 152, 370-379, 2022 | 10 | 2022 |
| Automated diagnosis of atrial fibrillation using ECG component-aware transformer MU Yang, DI Lee, S Park Computers in Biology and Medicine 150, 106115, 2022 | 9 | 2022 |
| Image generation with self pixel-wise normalization YGS Yoon-Jae Yeo, Min-Cheol Sagong, Seung Park, Sung-Jea Ko Applied Intelligence, 2022 | 9* | 2022 |
| Detail restoration and tone mapping networks for x-ray security inspection HY Kim, S Park, YG Shin, SW Jung, SJ Ko IEEE Access 8, 197473-197483, 2020 | 8 | 2020 |
| A novel generator with auxiliary branch for improving gan performance S Park, YG Shin IEEE Transactions on Neural Networks and Learning Systems, 2024 | 6 | 2024 |
| Deep learning model for predicting rhythm outcomes after radiofrequency catheter ablation in patients with atrial fibrillation DI Lee, MJ Park, JW Choi, S Park Journal of Healthcare Engineering 2022, 2022 | 5 | 2022 |
| Image fusion-based tone mapping using gaussian mixture model clustering WU Lee, S Park, SJ Ko 2020 IEEE International Conference on Consumer Electronics (ICCE), 1-4, 2020 | 5 | 2020 |
| A BERT-Based Artificial Intelligence to Analyze Free-Text Clinical Notes for Binary Classification in Papillary Thyroid Carcinoma Recurrence J Nam, JW Choi, YG Shin, S Park 2023 IEEE International Conference on Consumer Electronics (ICCE), 1-2, 2023 | 4 | 2023 |
| Predicting heart failure prognosis using deep learning based on FT-transformer G Kim, M Yang, GH Kim, SH Eom, TS Lee, S Park 2023 Fourteenth International Conference on Ubiquitous and Future Networks …, 2023 | 2 | 2023 |
| FT-GAT: Graph Neural Network for Predicting Spontaneous Breathing Trial Success in Patients with Mechanical Ventilation GH Kim, JW Kim, KH Kim, H Kang, JY Moon, YM Shin, S Park Computer Methods and Programs in Biomedicine, 107673, 2023 | 2 | 2023 |
| Predicting the need for intubation within 3 h in the neonatal intensive care unit using a multimodal deep neural network JE Im, S Park, YJ Kim, SA Yoon, JH Lee Scientific Reports 13 (1), 6213, 2023 | 1 | 2023 |
| Multimodal neural network for recurrence prediction of papillary thyroid carcinoma GH Kim, DH Lee, JW Choi, HJ Jeon, S Park Advanced Intelligent Systems 5 (2), 2200365, 2023 | 1 | 2023 |
| Prognostic prediction of sepsis patient using transformer with skip connected token for tabular data SP JW Choi, M Yang, JW Kim, YM Shin, YG Shin Artificial Intelligence in Medicine 149, 102804, 2024 | | 2024 |
| DeepASD: Facial Image Analysis for Autism Spectrum Diagnosis via Explainable Artificial Intelligence H Kang, M Yang, GH Kim, TS Lee, S Park 2023 Fourteenth International Conference on Ubiquitous and Future Networks …, 2023 | | 2023 |
Yong-Goo ShinDepartment of Electronics and Information Engineering, Korea University.在 korea.ac.kr 的电子邮件经过验证
