Seuraa
Xiaosong Wang
Xiaosong Wang
Shanghai AI Laboratory
Vahvistettu sähköpostiosoite verkkotunnuksessa pjlab.org.cn - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
X Wang, Y Peng, L Lu, Z Lu, M Bagheri, RM Summers
IEEE CVPR 2017, 2017
46812017
Deep learning in medical imaging and radiation therapy
B Sahiner, A Pezeshk, LM Hadjiiski, X Wang, K Drukker, KH Cha, ...
Medical physics 46 (1), e1-e36, 2019
8042019
Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays
X Wang, Y Peng, L Lu, Z Lu, RM Summers
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5892018
DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning
K Yan, X Wang, L Lu, RM Summers
Journal of Medical Imaging 5 (3), 036501, 2018
5382018
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, 2020
4272020
When Radiology Report Generation Meets Knowledge Graph
Y Zhang, X Wang, Z Xu, Q Yu, A Yuille, D Xu
AAAI-2020, 2020
2882020
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
D Yang, Z Xu, W Li, A Myronenko, HR Roth, S Harmon, S Xu, B Turkbey, ...
Medical image analysis 70, 101992, 2021
2502021
Handbook of medical image computing and computer assisted intervention
SK Zhou, D Rueckert, G Fichtinger
Academic Press, 2019
2352019
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
Y Peng, X Wang, L Lu, M Bagheri, R Summers, Z Lu
AMIA Summits on Translational Science Proceedings 2018, 188, 2018
2152018
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
1862018
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
1702018
Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
X Wang, Y Peng, L Lu, Z Lu, M Bagheri, R Summers
IEEE CVPR 7, 46, 2017
1262017
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images
YK Tsehay, NS Lay, HR Roth, X Wang, JT Kwak, BI Turkbey, PA Pinto, ...
Medical imaging 2017: Computer-aided diagnosis 10134, 20-30, 2017
862017
Spatial-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
arXiv preprint arXiv:1902.08716, 2019
782019
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
L Lu, X Wang, G Carneiro, L Yang
Springer, 2019
742019
Multi-domain image completion for random missing input data
L Shen, W Zhu, X Wang, L Xing, JM Pauly, B Turkbey, SA Harmon, ...
IEEE transactions on medical imaging 40 (4), 1113-1122, 2020
722020
Automatic lymph node cluster segmentation using holistically-nested neural networks and structured optimization in CT images
I Nogues, L Lu, X Wang, H Roth, G Bertasius, N Lay, J Shi, Y Tsehay, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
702016
Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images
M Blain, MT Kassin, N Varble, X Wang, Z Xu, D Xu, G Carrafiello, ...
Diagnostic and interventional radiology 27 (1), 20, 2021
632021
Going to extremes: weakly supervised medical image segmentation
HR Roth, D Yang, Z Xu, X Wang, D Xu
Machine Learning and Knowledge Extraction 3 (2), 507-524, 2021
592021
When unseen domain generalization is unnecessary? rethinking data augmentation
L Zhang, X Wang, D Yang, T Sanford, S Harmon, B Turkbey, H Roth, ...
arXiv preprint arXiv:1906.03347, 2019
572019
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Artikkelit 1–20