Sang Jun Park
Orcid: 0000-0003-0542-2758
According to our database1,
Sang Jun Park
authored at least 20 papers
between 2010 and 2023.
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Bibliography
2023
CoRR, 2023
Multi-Institutional Collaborative Research Using Ophthalmic Medical Image Data Standardized by Radiology Common Data Model (R-CDM).
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.
IEEE Access, 2022
2021
An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations.
BMC Medical Informatics Decis. Mak., 2021
Comput. Methods Programs Biomed., 2021
2020
Multimodal Registration of Fundus Images With Fluorescein Angiography for Fine-Scale Vessel Segmentation.
IEEE Access, 2020
Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network.
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.
J. Digit. Imaging, 2019
Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test.
Expert Syst. Appl., 2019
Scale-space approximated convolutional neural networks for retinal vessel segmentation.
Comput. Methods Programs Biomed., 2019
Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
2018
J. Digit. Imaging, 2018
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation.
CoRR, 2018
An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images.
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.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
2017
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks.
CoRR, 2017
Proceedings of the IEEE International Conference on Big Knowledge, 2017
2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
2010
IEEE Wirel. Commun., 2010