| 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 | 464 | 2018 |
| Validation of the dominant sequence paradigm and role of dynamic contrast-enhanced imaging in PI-RADS version 2 MD Greer, JH Shih, N Lay, T Barrett, L Kayat Bittencourt, S Borofsky, ... Radiology 285 (3), 859-869, 2017 | 178 | 2017 |
| Method and system for approximating deep neural networks for anatomical object detection D Liu, N Lay, SK Zhou, J Kretschmer, H Nguyen, VK Singh, Y Zheng, ... US Patent 9,633,306, 2017 | 154 | 2017 |
| Interreader variability of prostate imaging reporting and data system version 2 in detecting and assessing prostate cancer lesions at prostate MRI MD Greer, JH Shih, N Lay, T Barrett, L Bittencourt, S Borofsky, I Kabakus, ... American Journal of Roentgenology 212 (6), 1197-1205, 2019 | 129 | 2019 |
| Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study MD Greer, N Lay, JH Shih, T Barrett, LK Bittencourt, S Borofsky, I Kabakus, ... European radiology 28, 4407-4417, 2018 | 105 | 2018 |
| Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks R Cheng, HR Roth, N Lay, L Lu, B Turkbey, W Gandler, ES McCreedy, ... Journal of medical imaging 4 (4), 041302-041302, 2017 | 90 | 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 | 89 | 2017 |
| Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation S Gaur, N Lay, SA Harmon, S Doddakashi, S Mehralivand, B Argun, ... Oncotarget 9 (73), 33804, 2018 | 83 | 2018 |
| Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changes PJ Pickhardt, SJ Lee, J Liu, J Yao, N Lay, PM Graffy, RM Summers The British journal of radiology 92 (1094), 20180726, 2019 | 77 | 2019 |
| 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 | 70 | 2016 |
| Rapid multi-organ segmentation using context integration and discriminative models N Lay, N Birkbeck, J Zhang, SK Zhou Information Processing in Medical Imaging: 23rd International Conference …, 2013 | 69 | 2013 |
| Quality of prostate MRI: is the PI-RADS standard sufficient? J Sackett, JH Shih, SE Reese, JR Brender, SA Harmon, T Barrett, ... Academic radiology 28 (2), 199-207, 2021 | 68 | 2021 |
| Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks Y Sumathipala, N Lay, B Turkbey, C Smith, PL Choyke, RM Summers Journal of medical imaging 5 (4), 044507-044507, 2018 | 67 | 2018 |
| Detection of prostate cancer in multiparametric MRI using random forest with instance weighting N Lay, Y Tsehay, MD Greer, B Turkbey, JT Kwak, PL Choyke, P Pinto, ... Journal of Medical Imaging 4 (2), 024506-024506, 2017 | 60 | 2017 |
| Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI Y Tsehay, N Lay, X Wang, JT Kwak, B Turkbey, P Choyke, P Pinto, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 57 | 2017 |
| An Introduction to Artificial Prediction Markets for Classification. A Barbu, N Lay, S Mannor Journal of Machine Learning Research 13 (7), 2012 | 49 | 2012 |
| A cascaded deep learning–based artificial intelligence algorithm for automated lesion detection and classification on biparametric prostate magnetic resonance imaging S Mehralivand, D Yang, SA Harmon, D Xu, Z Xu, H Roth, S Masoudi, ... Academic radiology 29 (8), 1159-1168, 2022 | 45 | 2022 |
| Multicenter multireader evaluation of an artificial intelligence–based attention mapping system for the detection of prostate cancer with multiparametric MRI S Mehralivand, SA Harmon, JH Shih, CP Smith, N Lay, B Argun, ... American Journal of Roentgenology 215 (4), 903-912, 2020 | 44 | 2020 |
| Method and system for whole body bone removal and vascular visualization in medical image data N Lay, D Liu, SK Zhou, B Geiger, L Zhang, V Ordy, D Xu, C Schwemmer, ... US Patent 10,037,603, 2018 | 39 | 2018 |
| Deep learning-based artificial intelligence for prostate cancer detection at biparametric MRI S Mehralivand, D Yang, SA Harmon, D Xu, Z Xu, H Roth, S Masoudi, ... Abdominal Radiology 47 (4), 1425-1434, 2022 | 36 | 2022 |
