|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
|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
|Polyp size measurement at CT colonography: what do we know and what do we need to know?|
Radiology 255 (3), 707, 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
|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
|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
|Machine learning and radiology|
S Wang, RM Summers
Medical image analysis 16 (5), 933-951, 2012
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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), 1-9, 2019
|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