SNAIL: an IP-based wireless sensor network approach to the internet of things. - Sungmin Hong; Daeyoung Kim 001; Minkeun Ha; Sungho Bae; Sang Jun Park; Wooyoung Jung; Jaeeon Kim (IEEE Wirel. Commun., 2010)

Leveraging cloud computing for spatial association mining. - Sang Jun Park; Jin Soung Yoo (SMC, 2014)

Mining Course Trajectories of Successful and Failure Students: A Case Study. - Jin Soung Yoo; Yei-Sol Woo; Sang Jun Park (ICBK, 2017)

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks. - Jaemin Son; Sang Jun Park; Kyu-Hwan Jung (CoRR, 2017)

Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN. - Jaemin Son; Woong Bae; Sangkeun Kim; Sang Jun Park; Kyu-Hwan Jung (COMPAY/OMIA@MICCAI, 2018)

An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images. - Jaemin Son; Sangkeun Kim; Sang Jun Park; Kyu-Hwan Jung (CVII-STENT/LABELS@MICCAI, 2018)

Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation. - Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (CoRR, 2018)

Laterality Classification of Fundus Images Using Interpretable Deep Neural Network. - Yeonwoo Jang; Jaemin Son; Kyu Hyung Park; Sang Jun Park; Kyu-Hwan Jung (J. Digit. Imaging, 2018)

Micro-Level Incident Analysis using Spatial Association Rule Mining. - Jin Soung Yoo; Sang Jun Park; Aneesh Raman (ICBK, 2019)

Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography. - Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (MICCAI (1), 2019)

Scale-space approximated convolutional neural networks for retinal vessel segmentation. - Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (Comput. Methods Programs Biomed., 2019)

Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test. - Jiwon Victoria Park; Sang Jun Park; Jin Soung Yoo (Expert Syst. Appl., 2019)

Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks. - Jaemin Son; Sang Jun Park; Kyu-Hwan Jung (J. Digit. Imaging, 2019)

Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network. - Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (MICCAI (5), 2020)

Multimodal Registration of Fundus Images With Fluorescein Angiography for Fine-Scale Vessel Segmentation. - Kyoung Jin Noh; Jooyoung Kim; Sang Jun Park; Soochahn Lee (IEEE Access, 2020)

Semi-AI and Full-AI digitizer: The ways to digitalize visual field big data. - Tong Min Kim; Wonseo Choi; In-Young Choi; Sang Jun Park; Kun-Ho Yoon; Dong-Jin Chang (Comput. Methods Programs Biomed., 2021)

An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations. - Yongseok Mun; Jooyoung Kim; Kyoung Jin Noh; Soochahn Lee; Seok Kim; Soyoung Yi; Kyu Hyung Park; Sooyoung Yoo; Dong-Jin Chang; Sang Jun Park (BMC Medical Informatics Decis. Mak., 2021)

Combined Deep Learning of Fundus Images and Fluorescein Angiography for Retinal Artery/Vein Classification. - Sojung Go; Jooyoung Kim; Kyoung Jin Noh; Sang Jun Park; Soochahn Lee (IEEE Access, 2022)

Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM). - ChulHyoung Park; Sang Jun Park; Da Yun Lee; Seng Chan You; Kihwang Lee; Rae Woong Park (MedInfo, 2023)

Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models. - Sojung Go; Younghoon Ji; Sang Jun Park; Soochahn Lee (CVPR Workshops, 2024)

A Comparative Study on Methods to Interact with Close-Distance Objects in Mixed Reality Environment: Direct Method vs. Raycasting Method. - Sang Jun Park; Min Joo Kim; Yu Gyeong Son; Donggun Park 001; Yushin Lee 001 (HCI (58), 2024)