Shijun Wang - Citegraph

Author Info

Name	Affiliation	Papers
SHIJUN WANG	Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10 Room 1C224D MSC 1182, Bethesda, MD 20892-1182, United States	40
Collaborators	Citations	PageRank
67	239	22.83
Referers	Referees	References
900	1121	479

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Publications (40 rows)

Collaborators (67 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Acupoint Selection Rule Mining Of Premature Ovarian Failure Treatment With Acupuncture And Moxibustion Based On The Data Analysis Of Clinical Literature	0	0.34	2018
High-Level Music Descriptor Extraction Algorithm Based on Combination of Multi-Channel CNNs and LSTM.	2	0.37	2017
Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer	0	0.34	2015
Optimizing area under the ROC curve using semi-supervised learning.	0	0.34	2015
Computer-aided detection of exophytic renal lesions on non-contrast CT images.	4	0.43	2015
Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.	1	0.34	2015
Locally constrained active contour: a region-based level set for ovarian cancer metastasis segmentation	1	0.38	2014
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations.	84	4.33	2014
Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT.	1	0.34	2014
2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers.	8	1.04	2014
Visual phrase learning and its application in computed tomographic colonography.	0	0.34	2013
Robust detection of renal calculi from non-contract CT images using TV-flow and MSER features	0	0.34	2013
Manifold diffusion for exophytic kidney lesion detection on non-contrast CT images.	1	0.35	2013
Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework	1	0.36	2013
Automatic segmentation of kidneys from non-contrast CT images using efficient belief propagation	5	0.48	2013
A variational framework for joint detection and segmentation of ovarian cancer metastases.	1	0.34	2013
Sequential Monte Carlo tracking for marginal artery segmentation on CT angiography by multiple cue fusion.	4	0.40	2013
Computer-aided detection of colitis on computed tomography using a visual codebook	2	0.41	2013
Seeing is believing: video classification for computed tomographic colonography using multiple-instance learning.	9	0.48	2012
Tumor sensitive matching flow: an approach for ovarian cancer metastasis detection and segmentation	3	0.47	2012
Supine and prone CT colonography registration by matching graphs of teniae coli	0	0.34	2012
Machine learning and radiology.	52	2.07	2012
Computer vision approach to detect colonic polyps in computed tomographic colonography	0	0.34	2012
Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation.	25	1.04	2012
Matching 3-D prone and supine CT colonography scans using graphs.	2	0.42	2012
Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence.	6	0.70	2012
ROC-like optimization by sample ranking: Application to CT colonography	0	0.34	2012
3D supine and prone colon registration for computed tomographic colonography scans based on graph matching	1	0.35	2011
Fusion Of Machine Intelligence And Human Intelligence For Colonic Polyp Detection In Ct Colonography	4	0.50	2011
Graph matching based on mean field theory	2	0.42	2010
Collaborative learning by boosting in distributed environments	0	0.34	2010
Teniae coli extraction in human colon for computed tomographic colonography images	4	0.45	2010
Combining Statistical And Geometric Features For Colonic Polyp Detection In Ctc Based On Multiple Kernel Learning	9	0.76	2010
Centerline registration of prone and supine CT colonography scans based on correlation optimized warping and anatomical landmarks	0	0.34	2009
A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography	0	0.34	2009
Automated matching of supine and prone colonic polyps based on PCA and SVMs	0	0.34	2008
Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information	0	0.34	2008
DMLLE: a large-scale dimensionality reduction method for detection of polyps in CT colonography	0	0.34	2008
Semi-Supervised Mean Fields	0	0.34	2007
Semi-Supervised Mean Fields	7	0.51	2007