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 | 886 | 2010 |
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 | 179 | 2012 |
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 | 165 | 2016 |
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 | 123 | 2008 |
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 | 122 | 2012 |
A deep learning method for microaneurysm detection in fundus images J Shan, L Li 2016 IEEE First International Conference on Connected Health: Applications …, 2016 | 120 | 2016 |
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 | 117 | 2018 |
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 | 80 | 2018 |
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 | 75 | 2018 |
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 | 30 | 2017 |
A fully automatic segmentation method for breast ultrasound images J Shan Utah State University, 2011 | 30 | 2011 |
Fully automatic knee bone detection and segmentation on three-dimensional MRI R Almajalid, M Zhang, J Shan Diagnostics 12 (1), 123, 2022 | 26 | 2022 |
Knee osteoarthritis classification using 3D CNN and MRI C Guida, M Zhang, J Shan Applied Sciences 11 (11), 5196, 2021 | 24 | 2021 |
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 | 22 | 2017 |
A completely automatic segmentation method for breast ultrasound images using region growing J Shan, HD Cheng, Y Wang | 22 | 2008 |
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 | 19 | 2018 |
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 | 18 | 2006 |
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 | 17 | 2008 |
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 | 15 | 2010 |
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 | 13 | 2009 |