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Suk‐Joo Hong · Study
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Author
Suk‐Joo Hong
7 works
· latest 2022
· 3 institutions
cluster: provisional
ORCID 0000-0002-3923-1426
Works
7 shown
External validation of deep learning-based bone-age software: a preliminary study with real world data
Scientific Reports
·
2022
·
6 authors
·
Open access
21
citations
Visitor-artwork network analysis using object detection with image-retrieval technique
Advanced Engineering Informatics
·
2021
·
4 authors
9
citations
Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment
Korean Journal of Radiology
·
2021
·
9 authors
·
Open access
38
citations
Type and Behavior Pattern Analysis of Art Museum Visitors Based on Social Network Analysis
KAIST research series
·
2020
·
5 authors
·
chapter
2
citations
Use of Eye-tracking in Artworks to Understand Information Needs of Visitors
International Journal of Human-Computer Interaction
·
2020
·
4 authors
27
citations
A Study on Understanding of Visitor Needs in Art Museum: Based on Analysis of Visual Perception Through Eye-Tracking
Advances in intelligent systems and computing
·
2020
·
5 authors
·
other
8
citations
노인의 삶의 질과 시간적 할인율과의 관련성에 대한 고찰
·
2016
·
8 authors
0
citations