| Self-supervised visual representation learning for histopathological images P Yang, Z Hong, X Yin, C Zhu, R Jiang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 62 | 2021 |
| CS-CO: A hybrid self-supervised visual representation learning method for H&E-stained histopathological images P Yang, X Yin, H Lu, Z Hu, X Zhang, R Jiang, H Lv Medical image analysis 81, 102539, 2022 | 31 | 2022 |
| A deep metric learning approach for histopathological image retrieval P Yang, Y Zhai, L Li, H Lv, J Wang, C Zhu, R Jiang Methods 179, 14-25, 2020 | 29 | 2020 |
| Mintin: Maxout-based and input-normalized transformation invariant neural network J Zhang, K Jia, P Yang, F Qiao, Q Wei, X Liu, H Yang 2018 25th IEEE International Conference on Image Processing (ICIP), 3014-3018, 2018 | 4 | 2018 |
| A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas R Jiang, X Yin, P Yang, L Cheng, J Hu, J Yang, Y Wang, X Fu, L Shang, ... Nature Machine Intelligence 6 (8), 876-891, 2024 | 3 | 2024 |
| Liver histopathological image retrieval based on deep metric learning P Yang, Y Zhai, L Li, H Lv, J Wang, C Zhu, R Jiang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 3 | 2019 |
| Towards wide range tracking of head scanning movement in driving S Wang, J Li, P Yang, T Gao, AR Bowers, G Luo International journal of pattern recognition and artificial intelligence 34 …, 2020 | 2 | 2020 |
