| 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 | 5032 | 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 | 3298 | 2017 |
| Polyp size measurement at CT colonography: what do we know and what do we need to know? RM Summers Radiology 255 (3), 707-720, 2010 | 1742 | 2010 |
| Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique H Greenspan, B Van Ginneken, RM Summers IEEE transactions on medical imaging 35 (5), 1153-1159, 2016 | 1695 | 2016 |
| Polyps: Linear and Volumetric Measurement at CT Colonography1 SC Yeshwant, RM Summers, J Yao, DS Brickman, JR Choi, PJ Pickhardt Radiology 241 (3), 802-811, 2006 | 1687 | 2006 |
| The future of digital health with federated learning N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ... NPJ digital medicine 3 (1), 119, 2020 | 851 | 2020 |
| Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation HR Roth, L Lu, A Farag, HC Shin, J Liu, EB Turkbey, RM Summers Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 755 | 2015 |
| Machine learning and radiology S Wang, RM Summers Medical image analysis 16 (5), 933-951, 2012 | 672 | 2012 |
| A large annotated medical image dataset for the development and evaluation of segmentation algorithms AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ... arXiv preprint arXiv:1902.09063, 2019 | 655 | 2019 |
| Improving computer-aided detection using convolutional neural networks and random view aggregation HR Roth, L Lu, J Liu, J Yao, A Seff, K Cherry, L Kim, RM Summers IEEE transactions on medical imaging 35 (5), 1170-1181, 2015 | 648 | 2015 |
| 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 | 620 | 2019 |
| A new 2.5 D representation for lymph node detection using random sets of deep convolutional neural network observations HR Roth, L Lu, A Seff, KM Cherry, J Hoffman, S Wang, J Liu, E Turkbey, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 604 | 2014 |
| Preparing medical imaging data for machine learning MJ Willemink, WA Koszek, C Hardell, J Wu, D Fleischmann, H Harvey, ... Radiology 295 (1), 4-15, 2020 | 467 | 2020 |
| Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets SA Harmon, TH Sanford, S Xu, EB Turkbey, H Roth, Z Xu, D Yang, ... Nature communications 11 (1), 4080, 2020 | 460 | 2020 |
| Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks V Sandfort, K Yan, PJ Pickhardt, RM Summers Scientific reports 9 (1), 16884, 2019 | 448 | 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 | 422 | 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 | 395 | 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 | 377 | 2017 |
| 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), 036501-036501, 2018 | 370 | 2018 |
| A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises SK Zhou, H Greenspan, C Davatzikos, JS Duncan, B Van Ginneken, ... Proceedings of the IEEE 109 (5), 820-838, 2021 | 361 | 2021 |
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