Machine learning and radiology S Wang, RM Summers Medical image analysis 16 (5), 933-951, 2012 | 805 | 2012 |
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 | 698 | 2014 |
Regularized distance metric learning: Theory and algorithm R Jin, S Wang, Y Zhou Advances in neural information processing systems 22, 2009 | 242 | 2009 |
Computer aided‐diagnosis of prostate cancer on multiparametric MRI: a technical review of current research S Wang, K Burtt, B Turkbey, P Choyke, RM Summers BioMed research international 2014 (1), 789561, 2014 | 172 | 2014 |
Tumor burden analysis on computed tomography by automated liver and tumor segmentation MG Linguraru, WJ Richbourg, J Liu, JM Watt, V Pamulapati, S Wang, ... IEEE transactions on medical imaging 31 (10), 1965-1976, 2012 | 148 | 2012 |
Automated prostate cancer detection using T2‐weighted and high‐b‐value diffusion‐weighted magnetic resonance imaging JT Kwak, S Xu, BJ Wood, B Turkbey, PL Choyke, PA Pinto, S Wang, ... Medical physics 42 (5), 2368-2378, 2015 | 110 | 2015 |
Learning a distance metric from multi-instance multi-label data R Jin, S Wang, ZH Zhou 2009 IEEE Conference on Computer Vision and Pattern Recognition, 896-902, 2009 | 101 | 2009 |
Distributed human intelligence for colonic polyp classification in computer-aided detection for CT colonography TB Nguyen, S Wang, V Anugu, N Rose, M McKenna, N Petrick, JE Burns, ... Radiology 262 (3), 824-833, 2012 | 98 | 2012 |
Learning and innovative elements of strategy adoption rules expand cooperative network topologies S Wang, MS Szalay, C Zhang, P Csermely PloS one 3 (4), e1917, 2008 | 87 | 2008 |
Active appearance model and deep learning for more accurate prostate segmentation on MRI R Cheng, HR Roth, L Lu, S Wang, B Turkbey, W Gandler, ES McCreedy, ... Medical imaging 2016: Image processing 9784, 678-686, 2016 | 74 | 2016 |
2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers A Seff, L Lu, KM Cherry, HR Roth, J Liu, S Wang, J Hoffman, EB Turkbey, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 67 | 2014 |
Optimizing area under the ROC curve using semi-supervised learning S Wang, D Li, N Petrick, B Sahiner, MG Linguraru, RM Summers Pattern recognition 48 (1), 276-287, 2015 | 56 | 2015 |
An information geometry approach for distance metric learning S Wang, R Jin Artificial intelligence and statistics, 591-598, 2009 | 53 | 2009 |
A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels P Liu, S Wang, B Turkbey, K Grant, P Pinto, P Choyke, BJ Wood, ... Medical Imaging 2013: Computer-Aided Diagnosis 8670, 369-374, 2013 | 49 | 2013 |
Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence MT McKenna, S Wang, TB Nguyen, JE Burns, N Petrick, RM Summers Medical image analysis 16 (6), 1280-1292, 2012 | 45 | 2012 |
Improved classifier for computer‐aided polyp detection in CT Colonography by nonlinear dimensionality reduction S Wang, J Yao, RM Summers Medical physics 35 (4), 1377-1386, 2008 | 44 | 2008 |
Weighted competition scale-free network S Wang, C Zhang Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 70 (6 …, 2004 | 40 | 2004 |
Computer-aided detection of exophytic renal lesions on non-contrast CT images J Liu, S Wang, MG Linguraru, J Yao, RM Summers Medical image analysis 19 (1), 15-29, 2015 | 37 | 2015 |
Automated noninvasive classification of renal cancer on multiphase CT MG Linguraru, S Wang, F Shah, R Gautam, J Peterson, WM Linehan, ... Medical physics 38 (10), 5738-5746, 2011 | 37 | 2011 |
Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion J Liu, J Zhao, J Hoffman, J Yao, W Zhang, EB Turkbey, S Wang, C Kim, ... Medical imaging 2014: computer-aided diagnosis 9035, 166-172, 2014 | 36 | 2014 |