| The expressive power of neural networks: A view from the width Z Lu, H Pu, F Wang, Z Hu, L Wang Advances in neural information processing systems 30, 2017 | 823 | 2017 |
| Learning to navigate for fine-grained classification Z Yang, T Luo, D Wang, Z Hu, J Gao, L Wang Proceedings of the European conference on computer vision (ECCV), 420-435, 2018 | 405 | 2018 |
| Accurate pulmonary nodule detection in computed tomography images using deep convolutional neural networks J Ding, A Li, Z Hu, L Wang Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 340 | 2017 |
| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 200 | 2019 |
| A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical image analysis 67, 101832, 2021 | 88 | 2021 |
| Towards understanding learning representations: To what extent do different neural networks learn the same representation L Wang, L Hu, J Gu, Z Hu, Y Wu, K He, J Hopcroft Advances in neural information processing systems 31, 2018 | 78 | 2018 |
| Signet ring cell detection with a semi-supervised learning framework J Li, S Yang, X Huang, Q Da, X Yang, Z Hu, Q Duan, C Wang, H Li Information Processing in Medical Imaging: 26th International Conference …, 2019 | 72 | 2019 |
| DeepCDR: a hybrid graph convolutional network for predicting cancer drug response Q Liu, Z Hu, R Jiang, M Zhou Bioinformatics 36 (Supplement_2), i911-i918, 2020 | 57 | 2020 |
| Automatic 3D atrial segmentation from GE-MRIs using volumetric fully convolutional networks Q Xia, Y Yao, Z Hu, A Hao Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 39 | 2019 |
| Multi-organ segmentation via co-training weight-averaged models from few-organ datasets R Huang, Y Zheng, Z Hu, S Zhang, H Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 28 | 2020 |
| Zheng Ya C Xiong, Q Xia, ZQ Hu, N Huang, C Bian Numerical simulation on ramjet inlet with different cowl leading edge 20053288, 2021 | 27 | 2021 |
| SenseCare: A research platform for medical image informatics and interactive 3D visualization Q Duan, G Wang, R Wang, C Fu, X Li, M Gong, X Liu, Q Xia, X Huang, ... arXiv preprint arXiv:2004.07031, 2020 | 22 | 2020 |
| Few-shot learning by a cascaded framework with shape-constrained pseudo label assessment for whole heart segmentation W Wang, Q Xia, Z Hu, Z Yan, Z Li, Y Wu, N Huang, Y Gao, D Metaxas, ... IEEE Transactions on Medical Imaging 40 (10), 2629-2641, 2021 | 20 | 2021 |
| Left ventricle full quantification using deep layer aggregation based multitask relationship learning J Li, Z Hu Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 15 | 2019 |
| Accurate nuclear segmentation with center vector encoding J Li, Z Hu, S Yang Information Processing in Medical Imaging: 26th International Conference …, 2019 | 13 | 2019 |
| Hybrid supervision learning for pathology whole slide image classification J Li, W Chen, X Huang, S Yang, Z Hu, Q Duan, DN Metaxas, H Li, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Multi-frame collaboration for effective endoscopic video polyp detection via spatial-temporal feature transformation L Wu, Z Hu, Y Ji, P Luo, S Zhang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 8 | 2021 |
| DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system Q Da, X Huang, Z Li, Y Zuo, C Zhang, J Liu, W Chen, J Li, D Xu, Z Hu, H Yi, ... Medical Image Analysis 80, 102485, 2022 | 7 | 2022 |
| Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction G Lv, Z Hu, Y Bi, S Zhang Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 6 | 2021 |
| Left ventricle quantification challenge: A comprehensive comparison and evaluation of segmentation and regression for mid-ventricular short-axis cardiac MR data W Xue, J Li, Z Hu, E Kerfoot, J Clough, I Oksuz, H Xu, V Grau, F Guo, ... IEEE Journal of Biomedical and Health Informatics 25 (9), 3541-3553, 2021 | 6 | 2021 |
