Year |
Citation |
Score |
2018 |
Cao W, Shan J, Czarnek N, Li L. Microaneurysm Detection Using Principal Component Analysis and Machine Learning htbp c ab1 *These authors contributed equally. Ieee Transactions On Nanobioscience. PMID 29994317 DOI: 10.1109/Tnb.2018.2840084 |
0.357 |
|
2018 |
Du Y, Almajalid R, Shan J, Zhang M. A Novel Method to Predict Knee Osteoarthritis Progression on MRI Using Machine Learning Methods. Ieee Transactions On Nanobioscience. PMID 29994316 DOI: 10.1109/Tnb.2018.2840082 |
0.32 |
|
2016 |
Shan J, Alam SK, Garra B, Zhang Y, Ahmed T. Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods. Ultrasound in Medicine & Biology. PMID 26806441 DOI: 10.1016/J.Ultrasmedbio.2015.11.016 |
0.411 |
|
2014 |
Shan J, Li L. A new scheme to evaluate the accuracy of knowledge representation in automated breast cancer diagnosis 2014 International Conference On Collaboration Technologies and Systems, Cts 2014. 622-627. DOI: 10.1109/CTS.2014.6867636 |
0.315 |
|
2014 |
Wang Y, Cheng HD, Shan J. Multiplayer tracking system for short track speed skating Iet Computer Vision. 8: 629-641. DOI: 10.1049/Iet-Cvi.2014.0001 |
0.467 |
|
2012 |
Shan J, Cheng HD, Wang Y. A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering. Medical Physics. 39: 5669-82. PMID 22957633 DOI: 10.1118/1.4747271 |
0.546 |
|
2012 |
Shan J, Cheng HD, Wang Y. Completely automated segmentation approach for breast ultrasound images using multiple-domain features. Ultrasound in Medicine & Biology. 38: 262-75. PMID 22230134 DOI: 10.1016/J.Ultrasmedbio.2011.10.022 |
0.565 |
|
2010 |
Cheng H, Shan J, Ju W, Guo Y, Zhang L. Automated breast cancer detection and classification using ultrasound images: A survey Pattern Recognition. 43: 299-317. DOI: 10.1016/J.Patcog.2009.05.012 |
0.582 |
|
2009 |
Ju W, Shan J, Yan C, Cheng H. Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF kernel fuzzy support vector machine Pattern Recognition Letters. 30: 391-396. DOI: 10.1016/J.Patrec.2008.11.003 |
0.55 |
|
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