| 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 | 4013 | 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 | 2326 | 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 | 2103 | 2010 |
| 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 | 2053 | 2006 |
| 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 | 1447 | 2016 |
| Machine learning and radiology S Wang, RM Summers Medical image analysis 16 (5), 933-951, 2012 | 575 | 2012 |
| Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation HR Roth, L Lu, A Farag, HC Shin, J Liu, EB Turkbey, RM Summers International conference on medical image computing and computer-assisted …, 2015 | 573 | 2015 |
| 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 | 566 | 2015 |
| 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, ... International conference on medical image computing and computer-assisted …, 2014 | 524 | 2014 |
| 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 | 442 | 2019 |
| 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 | 376 | 2019 |
| Automated polyp detection at CT colonography: feasibility assessment in a human population RM Summers, CD Johnson, LM Pusanik, JD Malley, AM Youssef, ... Radiology 219 (1), 51-59, 2001 | 345 | 2001 |
| 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 | 344 | 2018 |
| Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population RM Summers, J Yao, PJ Pickhardt, M Franaszek, I Bitter, D Brickman, ... Gastroenterology 129 (6), 1832-1844, 2005 | 335 | 2005 |
| 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 | 318 | 2018 |
| Method for segmenting medical images and detecting surface anomalies in anatomical structures RM Summers, S Selbie, JD Malley, LM Pusanik US Patent 6,246,784, 2001 | 316 | 2001 |
| 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), 1-7, 2020 | 315 | 2020 |
| 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 | 285 | 2017 |
| Automated polyp detector for CT colonography: feasibility study RM Summers, CF Beaulieu, LM Pusanik, JD Malley, RB Jeffrey Jr, ... Radiology 216 (1), 284-290, 2000 | 284 | 2000 |
| 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), 1-7, 2020 | 283 | 2020 |
