Hye Sun Yun

Orcid: 0000-0001-6405-8082

According to our database1, Hye Sun Yun authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification.
Medical Image Anal., 2024

Investigating User Perceptions of Collaborative Agenda Setting in Virtual Health Counseling Session.
CoRR, 2024

Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models.
CoRR, 2024

2023
Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions.
CoRR, 2023

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Multiparty Interactions with a Robot Using Large Language Models.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Church after Sunday: supporting everyday well-being through techno-spiritual health interventions.
Interactions, 2022

Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling.
CoRR, 2022

Motivating health behavior change with a storytelling virtual agent.
Proceedings of the IVA '22: ACM International Conference on Intelligent Virtual Agents, Faro, Portugal, September 6, 2022

Techno-Spiritual Engagement: Mechanisms for Improving Uptake of mHealth Apps Designed for Church Members 130-138.
Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

2021
Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification.
CoRR, 2021

Automated 3D cephalometric landmark identification using computerized tomography.
CoRR, 2021

2020
Automation of Spine Curve Assessment in Frontal Radiographs Using Deep Learning of Vertebral-Tilt Vector.
IEEE Access, 2020


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