Improved Generative Convolution Method for Image Generation. - Seung Park; Min-Uk Yang; Geun-Hyeong Kim; Jueng-Eun Im; Ki-Hun Kim; Yong-Goo Shin (ICTC, 2022)

Predicting heart failure prognosis using deep learning based on FT-transformer. - Geunho Kim; Min-Uk Yang; Geun-Hyeong Kim; Seong-Hwan Eom; Tae-Soo Lee; Seung Park (ICUFN, 2023)

Multimodal Neural Network for Recurrence Prediction of Papillary Thyroid Carcinoma. - Geun-Hyeong Kim; Dong-Hwa Lee; Jee-Woo Choi; Hyun Jeong Jeon; Seung Park (Adv. Intell. Syst., 2023)

FT-GAT: Graph neural network for predicting spontaneous breathing trial success in patients with mechanical ventilation. - Geun-Hyeong Kim; Jae-Woo Kim; Ka-Hyun Kim; Hyeran Kang; Jae Young Moon; Yoon Mi Shin; Seung Park (Comput. Methods Programs Biomed., 2023)

Development of AI-generated medical responses using the ChatGPT for cancer patients. - Jae-woo Lee; In-Sang Yoo; Ji-Hye Kim; Won Tae Kim; Hyun Jeong Jeon; Hyo-Sun Yoo; Jae Gwang Shin; Geun-Hyeong Kim; Shinji Hwang; Seung Park; Yong-June Kim (Comput. Methods Programs Biomed., 2024)

Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain. - Hwa-Ah-Ni Lee; Geun-Hyeong Kim; Seung Park; In Ah Choi; Hyun Woo Kwon; Hansol Moon; Jae Hyun Jung; Chulhan Kim (Artif. Intell. Medicine, 2025)