Ronald M. Summers, MD, PhD
Ronald M. Summers, MD, PhD
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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
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
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
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
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
Machine learning and radiology
S Wang, RM Summers
Medical image analysis 16 (5), 933-951, 2012
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
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
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
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
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
Automated polyp detector for CT colonography: feasibility study
RM Summers, CF Beaulieu, LM Pusanik, JD Malley, RB Jeffrey Jr, ...
Radiology 216 (1), 284-290, 2000
Gray-scale skeletonization of small vessels in magnetic resonance angiography
PJ Yim, PL Choyke, RM Summers
IEEE Transactions on Medical Imaging 19 (6), 568-576, 2000
Virtual bronchoscopy: segmentation method for real-time display.
RM Summers, DH Feng, SM Holland, MC Sneller, JH Shelhamer
Radiology 200 (3), 857-862, 1996
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
Validation and clinical significance of the Childhood Myositis Assessment Scale for assessment of muscle function in the juvenile idiopathic inflammatory myopathies
AM Huber, BM Feldman, RM Rennebohm, JE Hicks, CB Lindsley, ...
Arthritis & Rheumatism 50 (5), 1595-1603, 2004
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
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
Colonic polyps: complementary role of computer-aided detection in CT colonography
RM Summers, AK Jerebko, M Franaszek, JD Malley, CD Johnson
Radiology 225 (2), 391-399, 2002
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