| Learning ECG representations for multi-label classification of cardiac abnormalities J Suh, J Kim, E Lee, J Kim, D Hwang, J Park, J Lee, J Park, SY Moon, ... 2021 computing in cardiology (CinC) 48, 1-4, 2021 | 16 | 2021 |
| Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization Y Song, J Kim, W Park, W Shin, W Rhee, N Kwak arXiv preprint arXiv:2403.14155, 2024 | 3 | 2024 |
| Selectively informative description can reduce undesired embedding entanglements in text-to-image personalization J Kim, J Park, W Rhee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Evaluating feature attribution methods for electrocardiogram J Suh, J Kim, E Jung, W Rhee arXiv preprint arXiv:2211.12702, 2022 | 1 | 2022 |
| Classification of underlying paroxysmal supraventricular tachycardia types using deep learning of sinus rhythm electrocardiograms S Kwon, J Suh, EK Choi, J Kim, H Ju, HJ Ahn, S Kim, SR Lee, S Oh, ... Digital Health 10, 20552076241281200, 2024 | | 2024 |
| Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing J Kim, D Hwang, E Lee, J Suh, J Kim, W Rhee arXiv preprint arXiv:2401.05730, 2024 | | 2024 |
| PO-05-229 DEEP LEARNING CLASSIFICATION OF PAROXYSMAL SUPRAVENTRICULAR TACHYCARDIA TYPES USING SINUS RHYTHM ELECTROCARDIOGRAMS S Kwon, J Suh, J Kim, H Ju, HJ Ahn, S Kim, SR Lee, W Rhee, EK Choi, ... Heart Rhythm 20 (5), S680-S681, 2023 | | 2023 |
