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Nathan Lay
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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
4232018
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
1642017
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
1342017
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
1082019
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
952018
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
872017
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
802017
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
772018
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
692013
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
682019
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
682016
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
572018
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
562021
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
532017
An Introduction to Artificial Prediction Markets for Classification.
A Barbu, N Lay, S Mannor
Journal of Machine Learning Research 13 (7), 2012
482012
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
432017
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
332018
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
322020
Supervised aggregation of classifiers using artificial prediction markets
N Lay, A Barbu
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
282010
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
252022
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