| Weakly supervised deep learning for covid-19 infection detection and classification from ct images S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, ... IEEE Access 8, 118869-118883, 2020 | 401 | 2020 |
| Robust weakly supervised learning for COVID-19 recognition using multi-center CT images Q Ye, Y Gao, W Ding, Z Niu, C Wang, Y Jiang, M Wang, EF Fang, ... Applied Soft Computing 116, 108291, 2022 | 34 | 2022 |
| Systematic and comprehensive automated ventricle segmentation on ventricle images of the elderly patients: a retrospective study X Zhou, Q Ye, Y Jiang, M Wang, Z Niu, W Menpes-Smith, EF Fang, Z Liu, ... Frontiers in Aging Neuroscience 12, 618538, 2020 | 21 | 2020 |
| Can clinical symptoms and laboratory results predict CT abnormality? initial findings using novel machine learning techniques in children with COVID-19 infections H Ma, Q Ye, W Ding, Y Jiang, M Wang, Z Niu, X Zhou, Y Gao, C Wang, ... Frontiers in Medicine 8, 699984, 2021 | 14 | 2021 |
| Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images (preprint) Q Ye, Y Gao, W Ding, Z Niu, C Wang, Y Jiang, M Wang, EF Fang, ... | | 2021 |
| Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images (preprint) S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, ... | | 2020 |
