| Pattern classification for gastrointestinal stromal tumors by integration of radiomics and deep convolutional features Z Ning, J Luo, Y Li, S Han, Q Feng, Y Xu, W Chen, T Chen, Y Zhang IEEE Journal of Biomedical and Health Informatics 23 (3), 1181-1191, 2018 | 94 | 2018 |
| Deep learning of lumbar spine X-ray for osteopenia and osteoporosis screening: a multicenter retrospective cohort study B Zhang#, K Yu#, Z Ning#, K Wang, Y Dong, X Liu, S Liu, J Wang, C Zhu, ... Bone 140, 115561, 2020 | 88 | 2020 |
| SMU-Net: Saliency-guided morphology-aware U-Net for breast lesion segmentation in ultrasound image Z Ning, S Zhong, Q Feng, W Chen, Y Zhang IEEE Transactions on Medical Imaging 41 (2), 476-490, 2021 | 76 | 2021 |
| Development and validation of a radiomics signature for clinically significant portal hypertension in cirrhosis (CHESS1701): a prospective multicenter study F Liu#, Z Ning#, Y Liu#, D Liu#, J Tian, H Luo, W An, Y Huang, J Zou, ... EBioMedicine 36, 151-158, 2018 | 75 | 2018 |
| Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively T Chen#, Z Ning#, L Xu, X Feng, S Han, HR Roth, W Xiong, X Zhao, Y Hu, ... European Radiology 29 (3), 1074-1082, 2019 | 62 | 2019 |
| Relation-induced multi-modal shared representation learning for Alzheimer’s disease diagnosis Z Ning, Q Xiao, Q Feng, W Chen, Y Zhang IEEE Transactions on Medical Imaging 40 (6), 1632-1645, 2021 | 42 | 2021 |
| Deep convolutional neural network-aided detection of portal hypertension in patients with cirrhosis Y Liu#, Z Ning#, N Örmeci#, W An, Q Yu, K Han, Y Huang, D Liu, F Liu, ... Clinical Gastroenterology and Hepatology 18 (13), 2998-3007. e5, 2020 | 37 | 2020 |
| Integrative analysis of cross-modal features for the prognosis prediction of clear cell renal cell carcinoma Z Ning, W Pan, Y Chen, Q Xiao, X Zhang, J Luo, J Wang, Y Zhang Bioinformatics 36 (9), 2888-2895, 2020 | 34 | 2020 |
| Bag of deep features for preoperative prediction of sentinel lymph node metastasis in breast cancer J Luo, Z Ning, S Zhang, Q Feng, Y Zhang Physics in Medicine & Biology 63 (24), 245014, 2018 | 34 | 2018 |
| Breast ultrasound image segmentation: A coarse‐to‐fine fusion convolutional neural network K Wang, S Liang, S Zhong, Q Feng, Z Ning*, Y Zhang* Medical Physics 48 (8), 4262-4278, 2021 | 30 | 2021 |
| Multi-modal magnetic resonance imaging-based grading analysis for gliomas by integrating radiomics and deep features Z Ning, J Luo, Q Xiao, L Cai, Y Chen, X Yu, J Wang, Y Zhang Annals of Translational Medicine 9 (4), 2021 | 26 | 2021 |
| DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques T Zhong, F Zhao, Y Pei, Z Ning, L Liao, Z Wu, Y Niu, L Wang, D Shen, ... NeuroImage 227, 117649, 2021 | 23 | 2021 |
| Multi-scale gradational-order fusion framework for breast lesions classification using ultrasound images Z Ning, C Tu, Q Xiao, J Luo, Y Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 15 | 2020 |
| Relation-aware shared representation learning for cancer prognosis analysis with auxiliary clinical variables and incomplete multi-modality data Z Ning, D Du, C Tu, Q Feng, Y Zhang IEEE Transactions on Medical Imaging 41 (1), 186-198, 2021 | 13 | 2021 |
| Multi-constraint latent representation learning for prognosis analysis using multi-modal data Z Ning, Z Lin, Q Xiao, D Du, Q Feng, W Chen, Y Zhang IEEE Transactions on Neural Networks and Learning Systems, 2021 | 12 | 2021 |
| Joint neuroimage synthesis and representation learning for conversion prediction of subjective cognitive decline Y Liu, Y Pan, W Yang, Z Ning, L Yue, M Liu, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 12 | 2020 |
| CF2-Net: Coarse-to-fine fusion convolutional network for breast ultrasound image segmentation Z Ning, K Wang, S Zhong, Q Feng, Y Zhang arXiv preprint arXiv:2003.10144, 2020 | 12 | 2020 |
| Deep cross-view co-regularized representation learning for glioma subtype identification Z Ning, C Tu, X Di, Q Feng, Y Zhang Medical Image Analysis 73, 102160, 2021 | 11 | 2021 |
| Dual-curriculum contrastive multi-instance learning for cancer prognosis analysis with whole slide images C Tu, Y Zhang, Z Ning* Advances in Neural Information Processing Systems, 2022 | 9 | 2022 |
| LDGAN: Longitudinal-diagnostic generative adversarial network for disease progression prediction with missing structural MRI Z Ning, Y Zhang, Y Pan, T Zhong, M Liu, D Shen International Workshop on Machine Learning in Medical Imaging, 170-179, 2020 | 7 | 2020 |
