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Ronald M. Summers, MD, PhD
Ronald M. Summers, MD, PhD
Verified email at nih.gov - Homepage
Title
Cited by
Cited by
Year
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
59472016
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
43572017
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
19342016
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
17492010
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
16842006
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
15392020
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
9442019
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
8922015
Machine learning and radiology
S Wang, RM Summers
Medical image analysis 16 (5), 933-951, 2012
7832012
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
7712019
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
7402020
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
7302015
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 4128, 2022
7292022
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
6842014
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
6542021
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
6272019
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
5742020
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
5472018
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
4942018
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
4562017
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