About
I am a Ph.D. student at KAIST Graduate School of AI advised by Professor Edward Choi. My research interests lie in the areas of Healthcare and Natural Language Processing.
Publication
- Sehoon Park*, Soomin Chung*, Yisak Kim, Sun-Ah Yang, Soie Kwon, Jeong Min Cho, Min Jae Lee, Eunbyeol Cho, Jiwon Ryu, Sejoong Kim, Jeonghwan Lee, Hyung Jin Yoon, Edward Choi, Kwangsoo Kim, Hajeong Lee, 2025, A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries: A modelling study, PLOS Medicine
- Sunjun Kweon*, Junu Kim*, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi, 2024, Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes, Findings in Association for Computational Linguistics (ACL) 2024
- Kyunghoon Hur, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Louis Atallah, Edward Choi, 2023, GenHPF : General Healthcare Predictive Framework for Multi-task Multi-source Learning, Journal of Biomedical and Health Informatics (JBHI)
- Seongsu Bae*, Daeun Kyung*, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I-Chao Chang, Tackeun Kim, Edward Choi, 2023, EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images, Neural Information Processing Systems (NeurIPS) 2023 Datasets and Benchmarks
- Eunbyeol Cho*, Min Jae Lee*, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi, 2023, Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records, Conference on Health, Inference, and Learning (CHIL) 2023 (Oral Presentation)
- Wonkyeong Lee*, Eunbyeol Cho*, Wonjin Kim, Hyebin Choi, Kyongmin Sarah Beck, Hyun Jung Yoon, Jongduk Baek, Jang-Hwan Choi, 2022, No-reference perceptual CT image quality assessment based on a self-supervised learning framework, Machine Learning: Science and Technology
- Wonkyeong Lee*, Eunbyeol Cho*, Wonjin Kim, Jang-Hwan Choi, 2022, Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment
- Yejin Jeon*, Eunbyeol Cho*, Sehwa Moon, Seung-Hoon Chae, Hae Young Jo, Tae Oh Kim, Chang Mo Moon, Jang-Hwan Choi, 2019, Deep convolutional neural network-based automated lesion detection in wireless capsule endoscopy, International Forum on Medical Imaging in Asia (IFMIA) 2019 * denotes equal contribution.
Education
- Korea Advanced Institute of Science and Technology (KAIST), September 2021 - Current
M.S. in Artificial Intelligence
Advisor: Prof. Edward Choi - Ewha Womans University, March 2017 - August 2021
B.S. in Mechanical and Biomedical Engineering