Wang Shijun
Wang Shijun
Staff Engineer, Ant Financial
Verified email at - Homepage
Cited by
Cited by
Machine learning and radiology
S Wang, RM Summers
Medical image analysis 16 (5), 933-951, 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
Regularized distance metric learning: Theory and algorithm
R Jin, S Wang, Y Zhou
Advances in neural information processing systems 22, 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
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
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
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
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
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
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
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
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
An information geometry approach for distance metric learning
S Wang, R Jin
Artificial intelligence and statistics, 591-598, 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
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
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
Weighted competition scale-free network
S Wang, C Zhang
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 70 (6 …, 2004
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
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
Registration of prone and supine CT colonography scans using correlation optimized warping and canonical correlation analysis
S Wang, J Yao, J Liu, N Petrick, RL Van Uitert, S Periaswamy, ...
Medical Physics 36 (12), 5595-5603, 2009
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