| CT-realistic lung nodule simulation from 3D conditional generative adversarial networks for robust lung segmentation D Jin, Z Xu, Y Tang, AP Harrison, DJ Mollura International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 213 | 2018 |
| Automated abnormality classification of chest radiographs using deep convolutional neural networks YX Tang, YB Tang, Y Peng, K Yan, M Bagheri, BA Redd, CJ Brandon, ... NPJ digital medicine 3 (1), 70, 2020 | 194 | 2020 |
| Offline Text-Independent Writer Identification Based on Scale Invariant Feature Transform X Wu, Y Tang, W Bu IEEE Transactions on Information Forensics and Security 9 (3), 526-536, 2014 | 163 | 2014 |
| XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation YB Tang, YX Tang, J Xiao, RM Summers International Conference on Medical Imaging with Deep Learning (MIDL), 2019 | 136 | 2019 |
| Scene Text Detection and Segmentation based on Cascaded Convolution Neural Networks Y Tang, X Wu IEEE Transactions on Image Processing 26 (3), 1509-1520, 2017 | 111 | 2017 |
| MULAN: multitask universal lesion analysis network for joint lesion detection, tagging, and segmentation K Yan, Y Tang, Y Peng, V Sandfort, M Bagheri, Z Lu, RM Summers International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 97 | 2019 |
| Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs Y Tang, X Wu European Conference on Computer Vision (ECCV), 809-825, 2016 | 91 | 2016 |
| Text-independent writer identification via CNN features and joint Bayesian Y Tang, X Wu 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 82 | 2016 |
| Learning from multiple datasets with heterogeneous and partial labels for universal lesion detection in CT K Yan, J Cai, Y Zheng, AP Harrison, D Jin, Y Tang, Y Tang, L Huang, ... IEEE Transactions on Medical Imaging 40 (10), 2759-2770, 2020 | 80 | 2020 |
| Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier Y Tang, Y Tang, M Han, J Xiao, RM Summers IEEE International Symposium on Biomedical Imaging (ISBI), 2019 | 74 | 2019 |
| SAM: Self-supervised learning of pixel-wise anatomical embeddings in radiological images K Yan, J Cai, D Jin, S Miao, D Guo, AP Harrison, Y Tang, J Xiao, J Lu, ... IEEE Transactions on Medical Imaging 41 (10), 2658-2669, 2022 | 71 | 2022 |
| Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d recist J Cai, Y Tang, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 70 | 2018 |
| ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining Y Tang, K Yan, Y Tang, J Liu, J Xiao, RM Summers IEEE International Symposium on Biomedical Imaging (ISBI), 2019 | 67 | 2019 |
| Discrete probability distribution prediction of image emotions with shared sparse learning S Zhao, G Ding, Y Gao, X Zhao, Y Tang, J Han, H Yao, Q Huang IEEE Transactions on Affective Computing 11 (4), 574-587, 2018 | 67 | 2018 |
| E Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans Y Tang, Y Tang, Y Zhu, J Xiao, RM Summers International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 60 | 2020 |
| Scene text detection using superpixel-based stroke feature transform and deep learning based region classification Y Tang, X Wu IEEE Transactions on Multimedia 20 (9), 2276-2288, 2018 | 58 | 2018 |
| CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation YB Tang, S Oh, YX Tang, J Xiao, RM Summers Medical Imaging 2019: Computer-Aided Diagnosis 10950, 976-981, 2019 | 56 | 2019 |
| Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection Y Tang, X Wu, W Bu ACM Conference on Multimedia (ACMMM), 397-401, 2016 | 56 | 2016 |
| CT image enhancement using stacked generative adversarial networks and transfer learning for lesion segmentation improvement Y Tang, J Cai, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 53 | 2018 |
| A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis Y Tang, Y Tang, Y Zhu, J Xiao, RM Summers Medical Image Analysis 67, 101839, 2021 | 49 | 2021 |
Jing XiaoGroup Chief Scientist, Ping An Insurance Group在 pingan.com.cn 的电子邮件经过验证
