| ICADx: interpretable computer aided diagnosis of breast masses ST Kim, H Lee, HG Kim, YM Ro Medical Imaging 2018: Computer-Aided Diagnosis 10575, 450-459, 2018 | 34 | 2018 |
| Visually interpretable deep network for diagnosis of breast masses on mammograms ST Kim, JH Lee, H Lee, YM Ro Physics in Medicine & Biology 63 (23), 235025, 2018 | 30 | 2018 |
| Lightweight and effective facial landmark detection using adversarial learning with face geometric map generative network HJ Lee, ST Kim, H Lee, YM Ro IEEE Transactions on Circuits and Systems for Video Technology 30 (3), 771-780, 2019 | 23 | 2019 |
| Defending person detection against adversarial patch attack by using universal defensive frame Y Yu, HJ Lee, H Lee, YM Ro IEEE Transactions on Image Processing 31, 6976-6990, 2022 | 19 | 2022 |
| Robust ensemble model training via random layer sampling against adversarial attack H Lee, HJ Lee, ST Kim, YM Ro arXiv preprint arXiv:2005.10757, 2020 | 13 | 2020 |
| Realistic breast mass generation through BIRADS category H Lee, ST Kim, JH Lee, YM Ro Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 8 | 2019 |
| Revisiting role of autoencoders in adversarial settings BC Kim, JU Kim, H Lee, YM Ro 2020 IEEE International Conference on Image Processing (ICIP), 1856-1860, 2020 | 7 | 2020 |
| Feature2mass: Visual feature processing in latent space for realistic labeled mass generation JH Lee, S Tae Kim, H Lee, Y Man Ro Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 4 | 2018 |
| Adversarial anchor-guided feature refinement for adversarial defense H Lee, YM Ro Image and Vision Computing 136, 104722, 2023 | 3 | 2023 |
