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Seongsu Bae
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Ehrsql: A practical text-to-sql benchmark for electronic health records
G Lee, H Hwang, S Bae, Y Kwon, W Shin, S Yang, M Seo, JY Kim, E Choi
Advances in Neural Information Processing Systems 35, 15589-15601, 2022
122022
Graph-text multi-modal pre-training for medical representation learning
S Park, S Bae, J Kim, T Kim, E Choi
Conference on Health, Inference, and Learning, 261-281, 2022
92022
Question answering for complex electronic health records database using unified encoder-decoder architecture
S Bae, D Kim, J Kim, E Choi
Machine Learning for Health, 13-25, 2021
82021
EHRXQA: A multi-modal question answering dataset for electronic health records with chest x-ray images
S Bae, D Kyung, J Ryu, E Cho, G Lee, S Kweon, J Oh, L Ji, E Chang, ...
Advances in Neural Information Processing Systems 36, 2024
52024
Uncertainty-aware text-to-program for question answering on structured electronic health records
D Kim, S Bae, S Kim, E Choi
Conference on Health, Inference, and Learning, 138-151, 2022
52022
Ecg-qa: A comprehensive question answering dataset combined with electrocardiogram
J Oh, G Lee, S Bae, J Kwon, E Choi
Advances in Neural Information Processing Systems 36, 2024
32024
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
S Kweon, J Kim, J Kim, S Im, E Cho, S Bae, J Oh, G Lee, JH Moon, ...
arXiv preprint arXiv:2309.00237, 2023
22023
KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization
G Kim, H Kim, L Ji, S Bae, C Kim, M Sung, H Kim, K Yan, E Chang, J Kang
arXiv preprint arXiv:2307.07409, 2023
2023
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