| Lung cancer scRNA-seq and lipidomics reveal aberrant lipid metabolism for early-stage diagnosis G Wang, M Qiu, X Xing, J Zhou, H Yao, M Li, R Yin, Y Hou, Y Li, S Pan, ... Science Translational Medicine 14 (630), eabk2756, 2022 | 93 | 2022 |
| ENS-Unet: End-to-end noise suppression U-Net for brain tumor segmentation Z Meng, Z Fan, Z Zhao, F Su 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 34 | 2018 |
| Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and multi-omics G Wang, H Yao, Y Gong, Z Lu, R Pang, Y Li, Y Yuan, H Song, J Liu, Y Jin, ... Science Advances 7 (52), eabh2724, 2021 | 30 | 2021 |
| A cervical histopathology dataset for computer aided diagnosis of precancerous lesions Z Meng, Z Zhao, B Li, F Su, L Guo IEEE Transactions on Medical Imaging 40 (6), 1531-1541, 2021 | 30 | 2021 |
| Diagnosing covid-19 from CT images based on an Ensemble Learning Framework B Li, Q Zhang, Y Song, Z Zhao, Z Meng, F Su ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 14 | 2021 |
| Multi-classification of breast cancer histology images by using gravitation loss Z Meng, Z Zhao, F Su ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 14 | 2019 |
| Hierarchical spatial pyramid network for cervical precancerous segmentation by reconstructing deep segmentation networks Z Meng, Z Zhao, F Su, L Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 6 | 2021 |
| Triple up-sampling segmentation network with distribution consistency loss for pathological diagnosis of cervical precancerous lesions Z Meng, Z Zhao, B Li, F Su, L Guo, H Wang IEEE Journal of Biomedical and Health Informatics 25 (7), 2673-2685, 2020 | 6 | 2020 |
| Adaptive elastic loss based on progressive inter-class association for cervical histology image segmentation Z Meng, Z Zhao, F Su, W Wang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
| SwinDAE: Electrocardiogram quality assessment using 1D Swin transformer and denoising AutoEncoder G Chen, T Shi, B Xie, Z Zhao, Z Meng, Y Huang, J Dong IEEE Journal of Biomedical and Health Informatics, 2023 | 2 | 2023 |
| GSLD: A Global Scanner with Local Discriminator Network for Fast Detection of Sparse Plasma Cell in Immunohistochemistry Q Zhang, Z Meng, Z Zhao, F Su 2021 IEEE International Conference on Image Processing (ICIP), 86-90, 2021 | 2 | 2021 |
| A Deep Learning–Based System Trained for Gastrointestinal Stromal Tumor Screening Can Identify Multiple Types of Soft Tissue Tumors Z Meng, G Wang, F Su, Y Liu, Y Wang, J Yang, J Luo, F Cao, P Zhen, ... The American Journal of Pathology 193 (7), 899-912, 2023 | 1 | 2023 |
| NuSEA: Nuclei Segmentation With Ellipse Annotations Z Meng, J Dong, B Zhang, S Li, R Wu, F Su, G Wang, L Guo, Z Zhao IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
| MindShot: Brain Decoding Framework Using Only One Image S Jiang, Z Meng, D Liu, H Li, F Su, Z Zhao arXiv preprint arXiv:2405.15278, 2024 | | 2024 |
| MTCSNet: One-stage learning and two-point labeling are sufficient for cell segmentation B Zhang, Z Meng, H Li, Z Zhao, F Su IEEE Transactions on Medical Imaging, 2024 | | 2024 |
| Now and Future of Artificial Intelligence-based Signet Ring Cell Diagnosis: A Survey Z Meng, J Dong, L Guo, F Su, G Wang, Z Zhao arXiv preprint arXiv:2311.10118, 2023 | | 2023 |
| Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation J Dong, Z Meng, D Liu, Z Zhao, F Su arXiv preprint arXiv:2307.10097, 2023 | | 2023 |
| MT2: Multi-task Mean Teacher for Semi-Supervised Cell Segmentation B Zhang, J Dong, Z Zhao, Z Meng, F Su | | 2022 |
