Automation of Spine Curve Assessment in Frontal Radiographs Using Deep Learning of Vertebral-Tilt Vector. - Kang Cheol Kim; Hye Sun Yun; Sungjun Kim; Jin Keun Seo (IEEE Access, 2020)

Automated 3D cephalometric landmark identification using computerized tomography. - Hye Sun Yun; Chang Min Hyun; Seong Hyeon Baek; Sang-Hwy Lee; Jin Keun Seo (CoRR, 2021)

Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification. - Tae Jun Jang; Hye Sun Yun; Jong-Eun Kim; Sang-Hwy Lee; Jin Keun Seo (CoRR, 2021)

Techno-Spiritual Engagement: Mechanisms for Improving Uptake of mHealth Apps Designed for Church Members 130-138. - Hye Sun Yun; Shou Zhou; Everlyne Kimani; Stefan Olafsson; Teresa K. O'Leary; Dhaval Parmar; Jessica A. Hoffman; Stephen S. Intille; Michael K. Paasche-Orlow; Timothy W. Bickmore (IUI Workshops, 2022)

Motivating health behavior change with a storytelling virtual agent. - Hye Sun Yun; Matias Volonte; Timothy W. Bickmore (IVA, 2022)

Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling. - Chang Min Hyun; Taigyntuya Bayaraa; Hye Sun Yun; Tae Jun Jang; Hyoung Suk Park; Jin Keun Seo (CoRR, 2022)

Church after Sunday: supporting everyday well-being through techno-spiritual health interventions. - Teresa K. O'Leary; Elizabeth Stowell; Darley Sackitey; Hye Sun Yun; David Wright; Michael K. Paasche-Orlow; Timothy W. Bickmore; Andrea G. Parker (Interactions, 2022)

Improving Multiparty Interactions with a Robot Using Large Language Models. - Prasanth Murali; Ian Steenstra; Hye Sun Yun; Ameneh Shamekhi; Timothy W. Bickmore (CHI Extended Abstracts, 2023)

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. - Hye Sun Yun; Iain James Marshall; Thomas A. Trikalinos; Byron C. Wallace (EMNLP, 2023)

Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions. - Hye Sun Yun; Mehdi Arjmand; Phillip Raymond Sherlock; Michael K. Paasche-Orlow; James W. Griffith; Timothy W. Bickmore (CoRR, 2023)

Investigating User Perceptions of Collaborative Agenda Setting in Virtual Health Counseling Session. - Mina Fallah; Farnaz Nouraei; Hye Sun Yun; Timothy W. Bickmore (IVA, 2024)

Keeping Users Engaged During Repeated Interviews by a Virtual Agent: Using Large Language Models to Reliably Diversify Questions. - Hye Sun Yun; Mehdi Arjmand; Phillip Raymond Sherlock; Michael K. Paasche-Orlow; James W. Griffith; Timothy W. Bickmore (IVA, 2024)

Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models. - Hye Sun Yun; David Pogrebitskiy; Iain James Marshall; Byron C. Wallace (MLHC, 2024)

Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification. - Tae Jun Jang; Hye Sun Yun; Chang Min Hyun; Jong-Eun Kim; Sang-Hwy Lee; Jin Keun Seo (Medical Image Anal., 2024)

Framing Health Information: The Impact of Search Methods and Source Types on User Trust and Satisfaction in the Age of LLMs. - Hye Sun Yun; Timothy W. Bickmore (CHI Extended Abstracts, 2025)

Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature? - Hye Sun Yun; Karen Y. C. Zhang; Ramez Kouzy; Iain James Marshall; Junyi Jessy Li; Byron C. Wallace (CHIL, 2025)

Deep Learning-Based Automated Measurement of Cervical Length in Transvaginal Ultrasound Images of Pregnant Women. - Hayan Kwon; Siyu Sun; Hyun Cheol Cho; Hye Sun Yun; Sungwook Park; Yun Ji Jung; Ja-Young Kwon; Jin Keun Seo (IEEE J. Biomed. Health Informatics, 2025)