Sang Jun Park

23 papers B 1Journal 13Unranked 9
YearRankTypeTitle / Venue / Authors
2024 — conf
A Comparative Study on Methods to Interact with Close-Distance Objects in Mixed Reality Environment: Direct Method vs. Raycasting Method.
HCI (58)
Sang Jun Park, Min Joo Kim, Yu Gyeong Son, Donggun Park, Yushin Lee
2024 — conf
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models.
CVPR Workshops
Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee
2023 J jnl
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models.
CoRR
Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee
2023 — conf
Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM).
MedInfo
ChulHyoung Park, Sang Jun Park, Da Yun Lee, Seng Chan You, Kihwang Lee, Rae Woong Park
2022 J jnl
Combined Deep Learning of Fundus Images and Fluorescein Angiography for Retinal Artery/Vein Classification.
IEEE Access
Sojung Go, Jooyoung Kim, Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
2021 J jnl
An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations.
BMC Medical Informatics Decis. Mak.
Yongseok Mun, Jooyoung Kim, Kyoung Jin Noh, Soochahn Lee, Seok Kim, Soyoung Yi, Kyu Hyung Park, Sooyoung Yoo, Dong-Jin Chang, Sang Jun Park
2021 J jnl
Semi-AI and Full-AI digitizer: The ways to digitalize visual field big data.
Comput. Methods Programs Biomed.
Tong Min Kim, Wonseo Choi, In-Young Choi, Sang Jun Park, Kun-Ho Yoon, Dong-Jin Chang
2020 — conf
Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network.
MICCAI (5)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
2020 J jnl
Multimodal Registration of Fundus Images With Fluorescein Angiography for Fine-Scale Vessel Segmentation.
IEEE Access
Kyoung Jin Noh, Jooyoung Kim, Sang Jun Park, Soochahn Lee
2019 J jnl
Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test.
Expert Syst. Appl.
Jiwon Victoria Park, Sang Jun Park, Jin Soung Yoo
2019 — conf
Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography.
MICCAI (1)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
2019 — conf
Micro-Level Incident Analysis using Spatial Association Rule Mining.
ICBK
Jin Soung Yoo, Sang Jun Park, Aneesh Raman
2019 J jnl
Scale-space approximated convolutional neural networks for retinal vessel segmentation.
Comput. Methods Programs Biomed.
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
2019 J jnl
Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks.
J. Digit. Imaging
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
2018 — conf
An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images.
CVII-STENT/LABELS@MICCAI
Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
2018 — conf
Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN.
COMPAY/OMIA@MICCAI
Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
2018 J jnl
Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN.
CoRR
Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
2018 J jnl
Laterality Classification of Fundus Images Using Interpretable Deep Neural Network.
J. Digit. Imaging
Yeonwoo Jang, Jaemin Son, Kyu Hyung Park, Sang Jun Park, Kyu-Hwan Jung
2018 J jnl
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation.
CoRR
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
2017 — conf
Mining Course Trajectories of Successful and Failure Students: A Case Study.
ICBK
Jin Soung Yoo, Yei-Sol Woo, Sang Jun Park
2017 J jnl
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks.
CoRR
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
2014 B conf
Leveraging cloud computing for spatial association mining.
SMC
Sang Jun Park, Jin Soung Yoo
2010 J jnl
SNAIL: an IP-based wireless sensor network approach to the internet of things.
IEEE Wirel. Commun.
Sungmin Hong, Daeyoung Kim, Minkeun Ha, Sungho Bae, Sang Jun Park, Wooyoung Jung, Jaeeon Kim