| Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning HC Shin, HR Roth, M Gao, L Lu, Z Xu, I Nogues, J Yao, D Mollura, ... IEEE transactions on medical imaging 35 (5), 1285-1298, 2016 | 5421 | 2016 |
| 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 Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 3772 | 2017 |
| Transunet: Transformers make strong encoders for medical image segmentation J Chen, Y Lu, Q Yu, X Luo, E Adeli, Y Wang, L Lu, AL Yuille, Y Zhou arXiv preprint arXiv:2102.04306, 2021 | 2310 | 2021 |
| DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation HR Roth, L Lu, A Farag, HC Shin, J Liu, E Turkbey, RM Summers 18th International Conference on Medical Image Computing and Computer …, 2015 | 817 | 2015 |
| Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation RS Holger Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Cherry Kevin ... IEEE Trans. on Medical Imaging, 1-12, 2015 | 688* | 2015 |
| A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations H Roth, L Lu, A Seff, K Cherry, J Liu, S Wang, E Turkbey, RM Summers Medical Image Computing and Computer-Assisted Intervention-MICCAI 2014, 2014 | 640 | 2014 |
| 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 | 486 | 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 | 433 | 2018 |
| Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation HR Roth, L Lu, N Lay, AP Harrison, A Farag, A Sohn, RM Summers Medical image analysis 45, 94-107, 2018 | 427 | 2018 |
| 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 | 419 | 2017 |
| Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation HC Shin, K Roberts, L Lu, D Demner-Fushman, J Yao, RM Summers Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 387 | 2016 |
| Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks M Gao, U Bagci, L Lu, A Wu, M Buty, HC Shin, H Roth, GZ Papadakis, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018 | 273 | 2018 |
| Anatomy-specific classification of medical images using deep convolutional nets HR Roth, CT Lee, HC Shin, A Seff, L Kim, J Yao, L Lu, RM Summers 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 101-104, 2015 | 220 | 2015 |
| Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database HC Shin, L Lu, L Kim, A Seff, J Yao, RM Summers IEEE Conference on Computer Vision and Pattern Recognition, 1090-1099, 2015 | 203 | 2015 |
| Deep convolutional networks for pancreas segmentation in CT imaging HR Roth, A Farag, L Lu, EB Turkbey, RM Summers Medical Imaging 2015: Image Processing 9413, 378-385, 2015 | 197 | 2015 |
| Improving deep pancreas segmentation in CT and MRI images via recurrent neural contextual learning and direct loss function J Cai, L Lu, Y Xie, F Xing, L Yang International conference on medical image computing and computer-assisted …, 2017 | 194* | 2017 |
| Deep learning and convolutional neural networks for medical image computing L Lu, Y Zheng, G Carneiro, L Yang Advances in computer vision and pattern recognition 10, 978-3, 2017 | 186 | 2017 |
| A bottom-up approach for pancreas segmentation using cascaded superpixels and (deep) image patch labeling A Farag, L Lu, HR Roth, J Liu, E Turkbey, RM Summers IEEE Transactions on image processing 26 (1), 386-399, 2016 | 186 | 2016 |
| 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 | 174 | 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 | 161 | 2018 |
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterVerified email at nih.gov
