IDENTIFYING VIABILITY OF IMMOTILE SPERM AT ONE GLANCE: SPERM VIABILITY CLASSIFIER POWERED BY DEEP LEARNING A Jiang, W Jiaqi, H Zhao, Z Zhang, Y Sun Fertility and Sterility 118 (4), e297-e298, 2022 | 2 | 2022 |
Testing the generalizability and effectiveness of deep learning models among clinics: sperm detection as a pilot study J Wang, Y Jin, A Jiang, W Chen, G Shan, Y Gu, Y Ming, J Li, C Yue, ... Reproductive Biology and Endocrinology 22 (1), 59, 2024 | | 2024 |
Automated Non-invasive Analysis of Motile Sperms Using Cross-scale Guidance Network W Dai, Z Wu, J Wang, R Liu, M Wang, T Wu, J Zhou, Z Zhang, J Liu 2024 IEEE International Conference on Robotics and Automation (ICRA), 17708 …, 2024 | | 2024 |
Automated Point-of-Care Semen Analysis Using Smartphone Imaging and Occlusion-Aware Multi-Object Tracking A Jiang, M Hao, Y Li, J Wang, C Yue, Z Huang, Y Yang, M Ma, R Zhai, ... IEEE Transactions on Automation Science and Engineering, 2024 | | 2024 |