| Accurate segmentation of cervical cytoplasm and nuclei based on multiscale convolutional network and graph partitioning Y Song, L Zhang, S Chen, D Ni, B Lei, T Wang IEEE Transactions on Biomedical Engineering 62 (10), 2421-2433, 2015 | 281 | 2015 |
| Accurate cervical cell segmentation from overlapping clumps in pap smear images Y Song, EL Tan, X Jiang, JZ Cheng, D Ni, S Chen, B Lei, T Wang IEEE Transactions on Medical Imaging 36 (1), 288-300, 2017 | 183 | 2017 |
| A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei Y Song, L Zhang, S Chen, D Ni, B Li, Y Zhou, B Lei, T Wang 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 105 | 2014 |
| PSO-ELM: A hybrid learning model for short-term traffic flow forecasting W Cai, J Yang, Y Yu, Y Song, T Zhou, J Qin IEEE Access 8, 6505-6514, 2020 | 62 | 2020 |
| A temporal-aware lstm enhanced by loss-switch mechanism for traffic flow forecasting H Lu, Z Ge, Y Song, D Jiang, T Zhou, J Qin Neurocomputing 427, 169-178, 2021 | 40 | 2021 |
| St-trafficnet: A spatial-temporal deep learning network for traffic forecasting H Lu, D Huang, Y Song, D Jiang, T Zhou, J Qin Electronics 9 (9), 1474, 2020 | 37 | 2020 |
| A Sample-Rebalanced Outlier-Rejected -Nearest Neighbor Regression Model for Short-Term Traffic Flow Forecasting L Cai, Y Yu, S Zhang, Y Song, Z Xiong, T Zhou IEEE access 8, 22686-22696, 2020 | 35 | 2020 |
| Segmentation, splitting, and classification of overlapping bacteria in microscope images for automatic bacterial vaginosis diagnosis Y Song, L He, F Zhou, S Chen, D Ni, B Lei, T Wang IEEE Journal of Biomedical and Health Informatics 21 (4), 1095-1104, 2017 | 29 | 2017 |
| Segmenting overlapping cervical cell in pap smear images Y Song, JZ Cheng, D Ni, S Chen, B Lei, T Wang 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1159-1162, 2016 | 27 | 2016 |
| CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images Y Song, Z Yu, T Zhou, JYC Teoh, B Lei, KS Choi, J Qin 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020), 2020 | 20 | 2020 |
| Noise-identified Kalman filter for short-term traffic flow forecasting S Zhang, Y Song, D Jiang, T Zhou, J Qin 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN …, 2019 | 20 | 2019 |
| Relationship between health status and physical fitness of college students from south china: An empirical study by data mining approach J Wang, Z Xie, Y Li, Y Song, J Yan, W Bai, T Zhou, J Qin IEEE Access 8, 67466-67473, 2020 | 15 | 2020 |
| Segmentation of overlapping cytoplasm in cervical smear images via adaptive shape priors extracted from contour fragments Y Song, L Zhu, J Qin, B Lei, B Sheng, KS Choi IEEE Transactions on Medical Imaging 38 (12), 2849-2862, 2019 | 13 | 2019 |
| Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments Y Song, J Qin, B Lei, KS Choi Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 13 | 2018 |
| Attention meets long short-term memory: A deep learning network for traffic flow forecasting W Fang, W Zhuo, J Yan, Y Song, D Jiang, T Zhou Physica A: Statistical Mechanics and its Applications 587, 126485, 2022 | 11 | 2022 |
| Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation Y Song, Z Yu, T Zhou, JYC Teoh, B Lei, KS Choi, J Qin International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 8 | 2020 |
| Unsupervised learning for CT image segmentation via adversarial redrawing Y Song, T Zhou, JYC Teoh, J Zhang, J Qin International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 6 | 2020 |
| A noise-immune boosting framework for short-term traffic flow forecasting S Zheng, S Zhang, Y Song, Z Lin, D Jiang, T Zhou Complexity 2021, 2021 | 5 | 2021 |
| An audio data representation for traffic acoustic scene recognition D Jiang, D Huang, Y Song, K Wu, H Lu, Q Liu, T Zhou IEEE Access 8, 177863-177873, 2020 | 5 | 2020 |
| Automatic vaginal bacteria segmentation and classification based on superpixel and deep learning Y Song, D Ni, Z Zeng, L He, S Chen, B Lei, T Wang Journal of Medical Imaging and Health Informatics 4 (5), 781-786, 2014 | 5 | 2014 |
Baiying LeiShenzhen University在 email.unc.edu 的电子邮件经过验证
![Jie-Zhi Cheng [鄭介誌]](https://scholar.googleusercontent.com/citations?view_op=small_photo&user=tSpNhZcAAAAJ&citpid=17)
