| A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation H Jiang, Z Diao, T Shi, Y Zhou, F Wang, W Hu, X Zhu, S Luo, G Tong, ... Computers in Biology and Medicine 157, 106726, 2023 | 151 | 2023 |
| Deep learning techniques for tumor segmentation: a review H Jiang, Z Diao, YD Yao The Journal of Supercomputing 78 (2), 1807-1851, 2022 | 68 | 2022 |
| A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity Z Diao, H Jiang, T Shi Knowledge-Based Systems 246, 108739, 2022 | 21 | 2022 |
| EFNet: evidence fusion network for tumor segmentation from PET-CT volumes Z Diao, H Jiang, XH Han, YD Yao, T Shi Physics in Medicine & Biology 66 (20), 205005, 2021 | 21 | 2021 |
| MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation Y Hao, H Jiang, Z Diao, T Shi, L Liu, H Li, W Zhang Computers in Biology and Medicine 159, 106956, 2023 | 11 | 2023 |
| Metabolic anomaly appearance aware U-Net for automatic lymphoma segmentation in whole-body PET/CT scans T Shi, H Jiang, M Wang, Z Diao, G Zhang, YD Yao IEEE Journal of Biomedical and Health Informatics 27 (5), 2465-2476, 2023 | 11 | 2023 |
| A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET–CT Volumes Z Diao, H Jiang, T Shi Engineering Applications of Artificial Intelligence 121, 105955, 2023 | 7 | 2023 |
| A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features Z Diao, H Jiang Computers in Biology and Medicine 174, 108461, 2024 | 6 | 2024 |
| Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module Z Diao, H Jiang, Y Zhou Computerized Medical Imaging and Graphics 106, 102217, 2023 | 5 | 2023 |
| MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images Y Zhou, H Jiang, Z Diao, G Tong, Q Luan, Y Li, X Li Computers in Biology and Medicine 153, 106538, 2023 | 4 | 2023 |
| CGBO-Net: Cruciform structure guided and boundary-optimized lymphoma segmentation network X Zhu, H Jiang, Z Diao Computers in Biology and Medicine 153, 106534, 2023 | 4 | 2023 |
| Siamese semi-disentanglement network for robust PET-CT segmentation Z Diao, H Jiang, T Shi, YD Yao Expert Systems with Applications 223, 119855, 2023 | 3 | 2023 |
| Uncertainty analysis based attention network for lung nodule segmentation from CT images G Liang, Z Diao, H Jiang Proceedings of the 6th International Conference on Virtual and Augmented …, 2022 | 2 | 2022 |
| Erratum: EFNet: evidence fusion network for tumor segmentation from PET-CT volumes (2021 Phys. Med. Biol. 66 205005) Z Diao, H Jiang, XH Han, YD Yao, T Shi Physics in Medicine & Biology 66 (24), 249501, 2021 | 1 | 2021 |
| EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis S Li, Z Diao arXiv preprint arXiv:2409.11817, 2024 | | 2024 |
| CoF-DResNet: Cancer Metastasis Recognition Network based on Dynamic Coordinated Metabolic Attention and Structural Attention. S Zhu, H Jiang, Z Diao, Q Luan, Y Li, X Li, Y Pei Current Pharmaceutical Biotechnology, 2024 | | 2024 |
| a Diabetes Risk Predicting Method with Multi-Strategy Counterfactual-Based Data Augmentation C Wang, YY Liu, ZS Diao, JW Tang, YY Wen, XT Yang Fractals 31 (06), 2340106, 2023 | | 2023 |
