| 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 | 5141 | 2017 |
| 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 | 848 | 2019 |
| 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 | 646 | 2018 |
| 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 | 588 | 2018 |
| 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 | 489 | 2020 |
| When Radiology Report Generation Meets Knowledge Graph Y Zhang, X Wang, Z Xu, Q Yu, A Yuille, D Xu AAAI-2020, 2020 | 339 | 2020 |
| 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 | 289 | 2021 |
| Handbook of medical image computing and computer assisted intervention SK Zhou, D Rueckert, G Fichtinger Academic Press, 2019 | 278 | 2019 |
| 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 | 233 | 2018 |
| 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 | 193 | 2018 |
| 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 | 187 | 2018 |
| 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 | 142 | 2017 |
| 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 | 93 | 2017 |
| 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 | 92 | 2019 |
| Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics L Lu, X Wang, G Carneiro, L Yang Springer, 2019 | 87 | 2019 |
| 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 | 81 | 2020 |
| 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 | 72 | 2016 |
| 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 | 68 | 2021 |
| 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, 2020 | 64 | 2020 |
| Deeplesion: Automated deep mining, categorization and detection of significant radiology image findings using large-scale clinical lesion annotations K Yan, X Wang, L Lu, RM Summers arXiv preprint arXiv:1710.01766, 2017 | 62 | 2017 |
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterE-mailová adresa ověřena na: nih.gov
