| 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 | 6452 | 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 | 1686 | 2006 |
| 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 | 756 | 2015 |
| 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 | 509 | 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 | 470 | 2016 |
| 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 | 349 | 2005 |
| Early triage of critically ill COVID-19 patients using deep learning Nature Communications, 2020 | 331 | 2020 |
| Genome-wide analysis identifies 12 loci influencing human reproductive behavior N Barban, R Jansen, R De Vlaming, A Vaez, JJ Mandemakers, FC Tropf, ... Nature genetics 48 (12), 1462-1472, 2016 | 311 | 2016 |
| Medical image segmentation by combining graph cuts and oriented active appearance models X Chen, JK Udupa, U Bagci, Y Zhuge, J Yao IEEE transactions on image processing 21 (4), 2035-2046, 2012 | 298 | 2012 |
| scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data F Yang, W Wang, F Wang, Y Fang, D Tang, J Huang, H Lu, J Yao Nature Machine Intelligence 4 (10), 852-866, 2022 | 253 | 2022 |
| 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 | 243 | 2015 |
| Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation HC Shin, L Lu, L Kim, A Seff, J Yao, RM Summers Journal of Machine Learning Research 17 (107), 1-31, 2016 | 222 | 2016 |
| Interstitial myocardial fibrosis assessed as extracellular volume fraction with low-radiation-dose cardiac CT MS Nacif, N Kawel, JJ Lee, X Chen, J Yao, A Zavodni, CT Sibley, ... Radiology 264 (3), 876-883, 2012 | 215 | 2012 |
| Computer-integrated revision total hip replacement surgery: concept and preliminary results RH Taylor, L Joskowicz, B Williamson, A Guéziec, A Kalvin, P Kazanzides, ... Medical image analysis 3 (3), 301-319, 1999 | 215 | 1999 |
| Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images U Bagci, JK Udupa, N Mendhiratta, B Foster, Z Xu, J Yao, X Chen, ... Medical image analysis 17 (8), 929-945, 2013 | 204 | 2013 |
| Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution Y Zhao, F Yang, Y Fang, H Liu, N Zhou, J Zhang, J Sun, S Yang, B Menze, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 202 | 2020 |
| Vertebral body compression fractures and bone density: automated detection and classification on CT images JE Burns, J Yao, RM Summers Radiology 284 (3), 788-797, 2017 | 192 | 2017 |
| Automated spinal column extraction and partitioning J Yao, SD O'Connor, RM Summers 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006 | 178 | 2006 |
| Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in colorectal cancer R Cao, F Yang, SC Ma, L Liu, Y Zhao, Y Li, DH Wu, T Wang, WJ Lu, ... Theranostics 10 (24), 11080, 2020 | 171 | 2020 |
| Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models J Yao, M Miller, M Franaszek, RM Summers IEEE Transactions on Medical Imaging 23 (11), 1344-1352, 2004 | 157 | 2004 |
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterDirección de correo verificada de nih.gov