Enhanced Detection and Recognition of Road Markings Based on Adaptive Region of Interest and Deep Learning. - Toan Minh Hoang; Se Hyun Nam; Kang Ryoung Park (IEEE Access, 2019)

Enhancing the Accuracies of Age Estimation With Heterogeneous Databases Using Modified CycleGAN. - Yu Hwan Kim; Min Beom Lee; Se Hyun Nam; Kang Ryoung Park (IEEE Access, 2019)

Deep Learning-Based Super-Resolution Reconstruction and Marker Detection for Drone Landing. - Noi Quang Truong; Phong Ha Nguyen 001; Se Hyun Nam; Kang Ryoung Park (IEEE Access, 2019)

Modified Conditional Generative Adversarial Network-Based Optical Blur Restoration for Finger-Vein Recognition. - Jiho Choi; Kyoung Jun Noh; Se Woon Cho; Se Hyun Nam; Muhammad Owais; Kang Ryoung Park (IEEE Access, 2020)

Age Estimation by Super-Resolution Reconstruction Based on Adversarial Networks. - Se Hyun Nam; Yu Hwan Kim; Noi Quang Truong; Jiho Choi; Kang Ryoung Park (IEEE Access, 2020)

Enhanced Cycle Generative Adversarial Network for Generating Face Images of Untrained Races and Ages for Age Estimation. - Yu Hwan Kim; Se Hyun Nam; Kang Ryoung Park (IEEE Access, 2021)

GRA-GAN: Generative adversarial network for image style transfer of Gender, Race, and age. - Yu Hwan Kim; Se Hyun Nam; Seung Baek Hong; Kang Ryoung Park (Expert Syst. Appl., 2022)

Deep learning-based plant classification and crop disease classification by thermal camera. - Ganbayar Batchuluun; Se Hyun Nam; Kang Ryoung Park (J. King Saud Univ. Comput. Inf. Sci., 2022)

Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images. - Adnan Haider; Muhammad Arsalan; Se Hyun Nam; Jin Seong Hong; Haseeb Sultan; Kang Ryoung Park (Eng. Appl. Artif. Intell., 2023)

DCDA-Net: Dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms. - Nadeem Ullah; Tahir Mahmood 003; Seung Gu Kim; Se Hyun Nam; Haseeb Sultan; Kang Ryoung Park (Eng. Appl. Artif. Intell., 2023)

Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusion. - Adnan Haider; Muhammad Arsalan; Se Hyun Nam; Haseeb Sultan; Kang Ryoung Park (J. King Saud Univ. Comput. Inf. Sci., 2023)

MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data. - Haseeb Sultan; Muhammad Owais; Se Hyun Nam; Adnan Haider; Rehan Akram; Muhammad Usman; Kang Ryoung Park (J. King Saud Univ. Comput. Inf. Sci., 2023)