Sang Jun Park

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 20

Top Topics

Vessel Segmentation

Medical Image Data

Top Venues

Comput. Methods Programs Biomed.

J. Digit. Imaging

Publications

Sang Jun Park, Min Joo Kim, Yu Gyeong Son, Donggun Park, Yushin Lee
A Comparative Study on Methods to Interact with Close-Distance Objects in Mixed Reality Environment: Direct Method vs. Raycasting Method. HCI (58) (2024)
ChulHyoung Park, Sang Jun Park, Da Yun Lee, Seng Chan You, Kihwang Lee, Rae Woong Park
Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM). MedInfo (2023)
Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models. CoRR (2023)
Sojung Go, Jooyoung Kim, Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Combined Deep Learning of Fundus Images and Fluorescein Angiography for Retinal Artery/Vein Classification. IEEE Access 10 (2022)
Tong Min Kim, Wonseo Choi, In-Young Choi, Sang Jun Park, Kun-Ho Yoon, Dong-Jin Chang
Semi-AI and Full-AI digitizer: The ways to digitalize visual field big data. Comput. Methods Programs Biomed. 207 (2021)
Yongseok Mun, Jooyoung Kim, Kyoung Jin Noh, Soochahn Lee, Seok Kim, Soyoung Yi, Kyu Hyung Park, Sooyoung Yoo, Dong-Jin Chang, Sang Jun Park
An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network. MICCAI (5) (2020)
Kyoung Jin Noh, Jooyoung Kim, Sang Jun Park, Soochahn Lee
Multimodal Registration of Fundus Images With Fluorescein Angiography for Fine-Scale Vessel Segmentation. IEEE Access 8 (2020)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Scale-space approximated convolutional neural networks for retinal vessel segmentation. Comput. Methods Programs Biomed. 178 (2019)
Jin Soung Yoo, Sang Jun Park, Aneesh Raman
Micro-Level Incident Analysis using Spatial Association Rule Mining. ICBK (2019)
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks. J. Digit. Imaging 32 (3) (2019)
Jiwon Victoria Park, Sang Jun Park, Jin Soung Yoo
Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test. Expert Syst. Appl. 118 (2019)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography. MICCAI (1) (2019)
Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN. CoRR (2018)
Yeonwoo Jang, Jaemin Son, Kyu Hyung Park, Sang Jun Park, Kyu-Hwan Jung
Laterality Classification of Fundus Images Using Interpretable Deep Neural Network. J. Digit. Imaging 31 (6) (2018)
Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN. COMPAY/OMIA@MICCAI (2018)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation. CoRR (2018)
Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images. CVII-STENT/LABELS@MICCAI (2018)
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks. CoRR (2017)
Jin Soung Yoo, Yei-Sol Woo, Sang Jun Park
Mining Course Trajectories of Successful and Failure Students: A Case Study. ICBK (2017)
Sang Jun Park, Jin Soung Yoo
Leveraging cloud computing for spatial association mining. SMC (2014)
Sungmin Hong, Daeyoung Kim, Minkeun Ha, Sungho Bae, Sang Jun Park, Wooyoung Jung, Jaeeon Kim
SNAIL: an IP-based wireless sensor network approach to the internet of things. IEEE Wirel. Commun. 17 (6) (2010)