Sang Jun Park

发表

Leveraging cloud computing for spatial association mining

Jin Soung Yoo, Sang Jun Park, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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

Sang Jun Park, Kyoung Jin Noh, Soochahn Lee, 2019, MICCAI.

Micro-Level Incident Analysis using Spatial Association Rule Mining

Sang Jun Park, Jin Soung Yoo, Aneesh Raman, 2019, 2019 IEEE International Conference on Big Knowledge (ICBK).

Optical responses of a metal with sub-nm gaps

Sang Jun Park, Dai-Sik Kim, Tae Yun Kim, 2016, Scientific Reports.

Scale-space approximated convolutional neural networks for retinal vessel segmentation

Sang Jun Park, Kyoung Jin Noh, Soochahn Lee, 2019, Comput. Methods Programs Biomed..

Prediction of Intracranial Aneurysm Risk using Machine Learning

Sang Jun Park, Si-Hyuck Kang, Jaehyuk Heo, 2020, Scientific Reports.

Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks

Sang Jun Park, Kyu-Hwan Jung, Jaemin Son, 2018, Journal of Digital Imaging.

A Two Phase Reservation protocols for efficient transmission of multimedia traffic in wireless ATM network

Sang Jun Park, Jeong An Han, Mun Ho Lee, 1999 .

A Study on Classifications and Trends with Convergence Form Characteristics of Architecture in Tall Buildings

Sang Jun Park, 2019 .

3D Bioprinting Technologies for Tissue Engineering Applications.

Young-Jin Kim, Bon Kang Gu, Sang Jun Park, 2018, Advances in experimental medicine and biology.

PREDICTING THE PERFORMANCE OF NREL PHASEVI BY USING BLUNT AIRFOIL

Sang Jun Park, Hyunchul Park, Chin Wha Chung, 2011 .

A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training

Sang Jun Park, Kyu-Hwan Jung, Joo Young Shin, 2018, Journal of Korean medical science.

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

Daeyoung Kim, Wooyoung Jung, Sang Jun Park, 2010, IEEE Wireless Communications.

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

Sang Jun Park, Kyu-Hwan Jung, Jaemin Son, 2018, CVII-STENT/LABELS@MICCAI.

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

Sang Jun Park, Kyoung Jin Noh, Soochahn Lee, 2020, MICCAI.

Comparison Between Travel Demand Forecasting Results by Using OD and PA Travel Patterns for Future Land Developments

Ikki Kim, Sang Jun Park, 2015 .

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

Sang Jun Park, Kyoung Jin Noh, Soochahn Lee, 2018, ArXiv.

Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN pdf

Sang Jun Park, Woong Bae, Kyu-Hwan Jung, 2018, COMPAY/OMIA@MICCAI.

RED-priority cell discarding method for improving TCP performance in ATM networks

Sang Jun Park, Byung Ho Rhee, Woo Chool Park, 2001, Joint 4th IEEE International Conference on ATM(ICATM'01) and High Speed Intelligent Internet Symposium. ICATM 2001 (Cat. No.00EX486).

Highlight Detection using Linguistic Features of Real-time Korean Game Audience Chat

Sang Jun Park, Seung-Hyuk Choi, Jae-Hyun Han, 2019 .

An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations

Sooyoung Yoo, Sang Jun Park, Kyoung Jin Noh, 2021, BMC Medical Informatics and Decision Making.

Congestion problem of IP over MPLS on the label overload

Sang Jun Park, Byung Ho Rhee, Woo Chool Park, 2001, Joint 4th IEEE International Conference on ATM(ICATM'01) and High Speed Intelligent Internet Symposium. ICATM 2001 (Cat. No.00EX486).

Study on choroidal neovascularization with anti-VEGF treatment in the mouse retina using optical coherence tomography angiography (Conference Presentation)

Sang Jun Park, Pilhan Kim, Wang-Yuhl Oh, 2017, BiOS.

CCTV Location Allocation in 3D Geographical Information System

Sang Jun Park, Chunghyeon Seo, 2012 .

Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network

Sang Jun Park, Leonard Sunwoo, Si-Hyuck Kang, 2018, EBioMedicine.

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

Jin Soung Yoo, Sang Jun Park, Sang Jun Park, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks pdf

Sang Jun Park, Kyu-Hwan Jung, Jaemin Son, 2017, ArXiv.

Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test

Jin Soung Yoo, Sang Jun Park, Jiwon Victoria Park, 2019, Expert Syst. Appl..

Laterality Classification of Fundus Images Using Interpretable Deep Neural Network

Sang Jun Park, Kyu-Hwan Jung, Jaemin Son, 2018, Journal of Digital Imaging.

Semi-AI and Full-AI digitizer: The ways to digitalize visual field big data

Tong Min Kim, Sang Jun Park, Dong-Jin Chang, 2021, Comput. Methods Programs Biomed..

Fully Leveraging Deep Learning Methods for Constructing Retinal Fundus Photomontages

Sang Jun Park, Kyoung Jin Noh, Jooyoung Kim, 2021 .

New loci and coding variants confer risk for age-related macular degeneration in East Asians

Feng Wen, Fang Lu, Peng Chen, 2015, Nature Communications.

Nationwide incidence of clinically diagnosed retinal vein occlusion in Korea, 2008 through 2011: preponderance of women and the impact of aging.

Sang Jun Park, Kyu Hyung Park, Se Joon Woo, 2014, Ophthalmology.

Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Sang Jun Park, Kyu-Hwan Jung, Joo Young Shin, 2020, Ophthalmology.