| Improving sensitivity on identification and delineation of intracranial hemorrhage lesion using cascaded deep learning models J Cho, KS Park, M Karki, E Lee, S Ko, JK Kim, D Lee, J Choe, J Son, ... Journal of digital imaging 32, 450-461, 2019 | 137 | 2019 |
| Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images J Kim, S Ko, M Kim, NJY Park, H Han, J Cho, JY Park Medicina 59 (3), 536, 2023 | 6 | 2023 |
| Lesion conditional image generation for improved segmentation of intracranial hemorrhage from CT images M Karki, J Cho, S Ko arXiv preprint arXiv:2003.13868, 2020 | 3 | 2020 |
| Toward Interpretable Cell Image Representation and Abnormality Scoring for Cervical Cancer Screening Using Pap Smears Y Ando, J Cho, NJY Park, S Ko, H Han Bioengineering 11 (6), 567, 2024 | 1 | 2024 |
| Improving Tumor-Infiltrating Lymphocytes Score Prediction in Breast Cancer with Self-Supervised Learning S Kim, K Rakib Hasan, Y Ando, S Ko, D Lee, NJY Park, J Cho Life 14 (1), 2024 | 1 | 2024 |
| Interpretable pap smear cell representation for cervical cancer screening Y Ando, NJY Park, GO Chong, S Ko, D Lee, J Cho, H Han arXiv preprint arXiv:2311.10269, 2023 | 1 | 2023 |
| Automated Screening of Precancerous Cervical Cells Through Contrastive Self-Supervised Learning J Chun, A Yu, S Ko, G Chong, J Park, H Han, NJ Park, J Cho Life 14 (12), 1565, 2024 | | 2024 |
