| Deeppap: Deep convolutional networks for cervical cell classification L Zhang, L Lu, I Nogues, RM Summers, S Liu, J Yao IEEE Journal of Biomedical and Health Informatics 21 (6), 1633-1643, 2017 | 376 | 2017 |
| Accurate segmentation of cervical cytoplasm and nuclei based on multiscale convolutional network and graph partitioning Y Song, L Zhang, S Chen, D Ni, B Lei, T Wang IEEE Transactions on Biomedical Engineering 62 (10), 2421-2433, 2015 | 312 | 2015 |
| Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation L Zhang, X Wang, D Yang, T Sanford, S Harmon, B Turkbey, BJ Wood, ... IEEE Transactions on Medical Imaging 39 (7), 2531-2540, 2020 | 292* | 2020 |
| Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database K Yan, X Wang, L Lu, L Zhang, AP Harrison, M Bagheri, RM Summers Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 142 | 2018 |
| A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei Y Song, L Zhang, S Chen, D Ni, B Li, Y Zhou, B Lei, T Wang 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 124 | 2014 |
| Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts L Zhang, H Kong, CT Chin, S Liu, Z Chen, T Wang, S Chen Computerized Medical Imaging and Graphics 38 (5), 369-380, 2014 | 108 | 2014 |
| Automation‐assisted cervical cancer screening in manual liquid‐based cytology with hematoxylin and eosin staining L Zhang, H Kong, C Ting Chin, S Liu, X Fan, T Wang, S Chen Cytometry Part A 85 (3), 214-230, 2014 | 87 | 2014 |
| Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks H Lin, Y Hu, S Chen, J Yao, L Zhang IEEE Access, 2019 | 80 | 2019 |
| Convolutional Invasion and Expansion Networks for Tumor Growth Prediction L Zhang, L Lu, R Summers, E Kebebew, J Yao IEEE Transactions on Medical Imaging 37 (2), 638-648, 2018 | 69 | 2018 |
| Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei L Zhang, M Sonka, L Lu, RM Summers, J Yao 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 64 | 2017 |
| Semi-automatic breast ultrasound image segmentation based on mean shift and graph cuts Z Zhou, W Wu, S Wu, PH Tsui, CC Lin, L Zhang, T Wang Ultrasonic imaging 36 (4), 256-276, 2014 | 64 | 2014 |
| Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network A Teramoto, A Yamada, Y Kiriyama, T Tsukamoto, K Yan, L Zhang, ... Informatics in Medicine Unlocked 16, 100205, 2019 | 61 | 2019 |
| Intelligent scanning: Automated standard plane selection and biometric measurement of early gestational sac in routine ultrasound examination L Zhang, S Chen, CT Chin, T Wang, S Li Medical physics 39 (8), 5015-5027, 2012 | 56 | 2012 |
| Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data L Zhang, L Lu, X Wang, RM Zhu, M Bagheri, RM Summers, J Yao IEEE Transactions on Medical Imaging 39 (4), 1114-1126, 2019 | 52 | 2019 |
| Graph-based segmentation of abnormal nuclei in cervical cytology L Zhang, H Kong, S Liu, T Wang, S Chen, M Sonka Computerized Medical Imaging and Graphics 56, 38-48, 2017 | 48 | 2017 |
| Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans Z Guo, L Zhang, L Lu, M Bagheri, RM Summers, M Sonka, J Yao Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018 | 43 | 2018 |
| Searching learning strategy with reinforcement learning for 3D medical image segmentation D Yang, H Roth, Z Xu, F Milletari, L Zhang, D Xu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 36 | 2019 |
| Self-learning to detect and segment cysts in lung CT images without manual annotation L Zhang, V Gopalakrishnan, L Lu, RM Summers, J Moss, J Yao 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 31 | 2018 |
| Personalized Pancreatic Tumor Growth Prediction via Group Learning L Zhang, L Lu, RM Summers, E Kebebew, J Yao International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 27 | 2017 |
| Fighting detection based on optical flow context histogram Y Chen, L Zhang, B Lin, Y Xu, X Ren 2011 Second international conference on innovations in bio-inspired …, 2011 | 27 | 2011 |
Le LuAlibaba DAMO Academy USA, IEEE Fellow, MICCAI Board Member, IEEE SPS Distinguished Industry SpeakerVerified email at alibaba-inc.com
