Yuxing Tang
Yuxing Tang
Alibaba DAMO Academy USA
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Cited by
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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
Large scale semi-supervised object detection using visual and semantic knowledge transfer
Y Tang, J Wang, B Gao, E Dellandréa, R Gaizauskas, L Chen
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Attention-guided curriculum learning for weakly supervised classification and localization of thoracic diseases on chest radiographs
Y Tang, X Wang, AP Harrison, L Lu, J Xiao, RM Summers
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
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
2019 International Conference on Medical Imaging with Deep Learning (MIDL …, 2019
A global/local affinity graph for image segmentation
X Wang, Y Tang, S Masnou, L Chen
IEEE Transactions on Image Processing 24 (4), 1399-1411, 2015
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature
Y Peng, Y Tang, S Lee, Y Zhu, RM Summers, Z Lu
IEEE Transactions on Big Data 7 (1), 3-12, 2021
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
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier
YX Tang, YB Tang, M Han, J Xiao, RM Summers
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019
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
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019
MommiNet-v2: Mammographic multi-view mass identification networks
Z Yang, Z Cao, Y Zhang, Y Tang, X Lin, R Ouyang, M Wu, M Han, J Xiao, ...
Medical Image Analysis 73, 102204, 2021
Visual and semantic knowledge transfer for large scale semi-supervised object detection
Y Tang, J Wang, X Wang, B Gao, E Dellandréa, R Gaizauskas, L Chen
IEEE transactions on pattern analysis and machine intelligence 40 (12), 3045 …, 2018
ENet: 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
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
Weakly supervised learning of deformable part-based models for object detection via region proposals
Y Tang, X Wang, E Dellandréa, L Chen
IEEE Transactions on Multimedia 19 (2), 393-407, 2017
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
Tuna-net: Task-oriented unsupervised adversarial network for disease recognition in cross-domain chest x-rays
Y Tang, Y Tang, V Sandfort, J Xiao, RM Summers
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Discriminative ensemble learning for few-shot chest x-ray diagnosis
A Paul, YX Tang, TC Shen, RM Summers
Medical image analysis 68, 101911, 2021
Close yet distinctive domain adaptation
L Luo, X Wang, S Hu, C Wang, Y Tang, L Chen
arXiv preprint arXiv:1704.04235, 2017
IRIM at TRECVID 2013: Semantic Indexing and Instance Search
TRECVID 2013, TREC Video Retrieval Evaluation workshop, 2013
Irim at TRECVID 2014: Semantic indexing and instance search
N Ballas, B Labbé, H Le Borgne, P Gosselin, D Picard, M Redi, ...
Proceedings of TRECVID, 2014
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