Sang Jun Park

According to our database, Sang Jun Park authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Yushin Lee

Proceedings of the HCI International 2024 Posters, 2024

Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models.

Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

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

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

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

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

Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network.

Kyoung Jin Noh, Sang Jun Park, Soochahn Lee

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

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

Scale-space approximated convolutional neural networks for retinal vessel segmentation.

Kyoung Jin Noh, Sang Jun Park, Soochahn Lee

Comput. Methods Programs Biomed., 2019

Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography.

Kyoung Jin Noh, Sang Jun Park, Soochahn Lee

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Micro-Level Incident Analysis using Spatial Association Rule Mining.

Jin Soung Yoo, Sang Jun Park, Aneesh Raman

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

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

Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation.

Kyoung Jin Noh, Sang Jun Park, Soochahn Lee

CoRR, 2018

An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images.

Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung

Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

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

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks.

Jaemin Son, Sang Jun Park, Kyu-Hwan Jung

CoRR, 2017

Mining Course Trajectories of Successful and Failure Students: A Case Study.

Jin Soung Yoo, Yei-Sol Woo, Sang Jun Park

Proceedings of the IEEE International Conference on Big Knowledge, 2017

2014

Leveraging cloud computing for spatial association mining.

Sang Jun Park, Jin Soung Yoo

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2010

SNAIL: an IP-based wireless sensor network approach to the internet of things.

Sungmin Hong, Daeyoung Kim, Minkeun Ha, Sungho Bae, Sang Jun Park, Wooyoung Jung, Jaeeon Kim

IEEE Wirel. Commun., 2010