| Dast: Unsupervised domain adaptation in semantic segmentation based on discriminator attention and self-training F Yu, M Zhang, H Dong, S Hu, B Dong, L Zhang Proceedings of the AAAI conference on artificial intelligence 35 (12), 10754 …, 2021 | 69 | 2021 |
| Modeling 4D fMRI data via spatio-temporal convolutional neural networks (ST-CNN) Y Zhao, X Li, W Zhang, S Zhao, M Makkie, M Zhang, Q Li, T Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 50 | 2018 |
| Multichannel band-controlled deconvolution based on a data-driven structural regularization X Du, G Li, M Zhang, H Li, W Yang, W Wang Geophysics 83 (5), R401-R411, 2018 | 45 | 2018 |
| Deep active contour network for medical image segmentation M Zhang, B Dong, Q Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 43 | 2020 |
| Automated semantic segmentation of red blood cells for sickle cell disease M Zhang, X Li, M Xu, Q Li IEEE journal of biomedical and health informatics 24 (11), 3095-3102, 2020 | 42 | 2020 |
| Four-dimensional modeling of fmri data via spatio–temporal convolutional neural networks (st-cnns) Y Zhao, X Li, H Huang, W Zhang, S Zhao, M Makkie, M Zhang, Q Li, T Liu IEEE transactions on cognitive and developmental systems 12 (3), 451-460, 2019 | 42 | 2019 |
| BEFD: Boundary enhancement and feature denoising for vessel segmentation M Zhang, F Yu, J Zhao, L Zhang, Q Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 41 | 2020 |
| PGU-net+: progressive growing of U-net+ for automated cervical nuclei segmentation J Zhao, L Dai, M Zhang, F Yu, M Li, H Li, W Wang, L Zhang Multiscale Multimodal Medical Imaging: First International Workshop, MMMI …, 2020 | 34 | 2020 |
| RBC semantic segmentation for sickle cell disease based on deformable U-Net M Zhang, X Li, M Xu, Q Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 29 | 2018 |
| Image segmentation and classification for sickle cell disease using deformable U-Net M Zhang, X Li, M Xu, Q Li arXiv preprint arXiv:1710.08149, 2017 | 25 | 2017 |
| Multi-label detection and classification of red blood cells in microscopic images W Qiu, J Guo, X Li, M Xu, M Zhang, N Guo, Q Li 2020 IEEE International Conference on Big Data (Big Data), 4257-4263, 2020 | 14 | 2020 |
| MS-GWNN: multi-scale graph wavelet neural network for breast cancer diagnosis M Zhang, B Dong, Q Li 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 13 | 2022 |
| Ascnet: Adaptive-scale convolutional neural networks for multi-scale feature learning M Zhang, J Zhao, X Li, L Zhang, Q Li 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 144-148, 2020 | 9 | 2020 |
| AF-SEG: an annotation-free approach for image segmentation by self-supervision and generative adversarial network F Yu, H Dong, M Zhang, J Zhao, B Dong, Q Li, L Zhang 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1503-1507, 2020 | 6 | 2020 |
