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Shan, Juan
Shan, Juan
Associate Professor, Department of Computer Science, Pace University, NYC
Verified email at pace.edu - Homepage
Title
Cited by
Cited by
Year
Automated breast cancer detection and classification using ultrasound images: A survey
HD Cheng, J Shan, W Ju, Y Guo, L Zhang
Pattern recognition 43 (1), 299-317, 2010
8812010
Completely Automated Segmentation Approach for Breast Ultrasound Images Using Multiple-Domain Features
J Shan, HD Cheng, Y Wang
Ultrasound in Medicine & Biology 38 (2), 262-275, 2012
1792012
Computer-aided diagnosis for breast ultrasound using computerized BI-RADS features and machine learning methods
J Shan, SK Alam, B Garra, Y Zhang, T Ahmed
Ultrasound in medicine & biology 42 (4), 980-988, 2016
1642016
A novel automatic seed point selection algorithm for breast ultrasound images
J Shan, HD Cheng, Y Wang
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, 1-4, 2008
1232008
A novel segmentation method for breast ultrasound images based on neutrosophic l‐means clustering
J Shan, HD Cheng, Y Wang
Medical physics 39 (9), 5669-5682, 2012
1212012
A deep learning method for microaneurysm detection in fundus images
J Shan, L Li
2016 IEEE First International Conference on Connected Health: Applications …, 2016
1162016
Development of a deep-learning-based method for breast ultrasound image segmentation
R Almajalid, J Shan, Y Du, M Zhang
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
1142018
A novel method to predict knee osteoarthritis progression on MRI using machine learning methods
Y Du, R Almajalid, J Shan, M Zhang
IEEE transactions on nanobioscience 17 (3), 228-236, 2018
782018
Microaneurysm detection using principal component analysis and machine learning methods
W Cao, N Czarnek, J Shan, L Li
IEEE transactions on nanobioscience 17 (3), 191-198, 2018
672018
A fully automatic segmentation method for breast ultrasound images
J Shan
Utah State University, 2011
302011
Microaneurysm detection in fundus images using small image patches and machine learning methods
W Cao, J Shan, N Czarnek, L Li
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
292017
Fully automatic knee bone detection and segmentation on three-dimensional MRI
R Almajalid, M Zhang, J Shan
Diagnostics 12 (1), 123, 2022
262022
Knee osteoarthritis prediction on MR images using cartilage damage index and machine learning methods
Y Du, J Shan, M Zhang
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
222017
A completely automatic segmentation method for breast ultrasound images using region growing
J Shan, HD Cheng, Y Wang
222008
Knee osteoarthritis classification using 3D CNN and MRI
C Guida, M Zhang, J Shan
Applied Sciences 11 (11), 5196, 2021
202021
Innovations of phishing defense: The mechanism, measurement and defense strategies
K Thakur, J Shan, ASK Pathan
International Journal of Communication Networks and Information Security 10 …, 2018
192018
A short-term and long-term learning approach for content-based image retrieval
M Wacht, J Shan, X Qi
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
182006
Detecting shadows of moving vehicles based on HMM
Y Wang, HD Cheng, J Shan
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, 1-4, 2008
172008
Completely automatic segmentation for breast ultrasound using multiple-domain features
J Shan, Y Wang, HD Cheng
Image Processing (ICIP), 2010 17th IEEE International Conference on, 1713-1716, 2010
152010
Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF kernel fuzzy support vector machine
W Ju, J Shan, C Yan, HD Cheng
Pattern Recognition Letters 30 (4), 391-396, 2009
132009
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