| Deep learning based imaging data completion for improved brain disease diagnosis R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014, 305-312, 2014 | 309 | 2014 |
| A Robust Deep Model for Improved Classification of AD/MCI Patients F Li, L Tran, KH Thung, S Ji, D Shen, J Li IEEE Journal of Biomedical and Health Informatics, 19 (5), 1610-1616, 2015 | 156 | 2015 |
| Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG O Bai, P Lin, S Vorbach, J Li, S Furlani, M Hallett Clinical neurophysiology 118 (12), 2637-2655, 2007 | 131 | 2007 |
| EOG artifact removal using a wavelet neural network HAT Nguyen, J Musson, F Li, W Wang, G Zhang, R Xu, C Richey, ... Neurocomputing, 2012 | 81 | 2012 |
| Feature selection using a piecewise linear network J Li, MT Manry, PL Narasimha, C Yu Neural Networks, IEEE Transactions on 17 (5), 1101-1115, 2006 | 80 | 2006 |
| An integrated growing-pruning method for feedforward network training PL Narasimha, WH Delashmit, MT Manry, J Li, F Maldonado Neurocomputing 71 (13-15), 2831-2847, 2008 | 68 | 2008 |
| A vision-based automatic safe landing-site detection system YF Shen, ZU Rahman, D Krusienski, J Li IEEE Transactions on Aerospace and Electronic Systems 49 (1), 294-311, 2013 | 50 | 2013 |
| Robust Deep Learning for Improved Classification of AD/MCI Patients F Li, L Tran, KH Thung, S Ji, D Shen, J Li Machine Learning in Medical Imaging, 240-247, 2014 | 43 | 2014 |
| An efficient hidden layer training method for the multilayer perceptron C Yu, MT Manry, J Li, P Lakshmi Narasimha Neurocomputing 70 (1-3), 525-535, 2006 | 42 | 2006 |
| A Few-shot Deep Learning Approach for Improved Intrusion Detection MMU Chowdhury, F Hammond, G Konowicz, J Li, C Xin, H Wu | 40 | 2017 |
| Wavelet method for CT colonography computer-aided polyp detection J Li, R Van Uitert, J Yao, N Petrick, M Franaszek, A Huang, RM Summers Medical physics 35, 3527, 2008 | 37 | 2008 |
| Deep learning for effective detection of excavated soil related to illegal tunnel activities D Perez, D Banerjee, C Kwan, M Dao, Y Shen, K Koperski, G Marchisio, ... 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile …, 2017 | 35 | 2017 |
| Automated dental implantation using image-guided robotics: registration results X Sun, FD McKenzie, S Bawab, J Li, Y Yoon, JK Huang International journal of computer assisted radiology and surgery, 1-8, 2011 | 35 | 2011 |
| A deep transfer learning approach for improved post-traumatic stress disorder diagnosis D Banerjee, K Islam, K Xue, J Li Knowledge and Information Systems 1 (1), 1-32, 2019 | 34 | 2019 |
| A deep transfer learning approach for improved post-traumatic stress disorder diagnosis D Banerjee, K Islam, G Mei, L Xiao, G Zhang, R Xu, S Ji, J Li 2017 IEEE International Conference on Data Mining (ICDM), 11-20, 2017 | 34 | 2017 |
| Employing topographical height map in colonic polyp measurement and false positive reduction J Yao, J Li, RM Summers Pattern recognition 42 (6), 1029-1040, 2009 | 31 | 2009 |
| Iterative design of neural network classifiers through regression RG Gore, MT Manry, J Li, C Yu, J Wei International Journal on Artificial Intelligence Tools 14 (1-2), 281-301, 2005 | 30 | 2005 |
| Prototype classifier design with pruning J Li, MT Manry, C Yu, DR Wilson International Journal of Artificial Intelligence Tools 14 (1-2), 261-280, 2005 | 30 | 2005 |
| Assessment of Spatiotemporal Fusion Algorithms for Planet and Worldview Images C Kwan, X Zhu, F Gao, B Chou, D Perez, J Li, Y Shen, K Koperski, ... Sensors 18 (4), 1051, 2018 | 29 | 2018 |
| High-Speed Image Registration Algorithm with Subpixel Accuracy A Yousef, J Li, M Karim IEEE Signal Processing Letters, 22 (10), 1796-1800, 2015 | 27 | 2015 |
Frederic (Rick) D. McKenzieProfessor and Chair of Modeling, Simulation and Visualization Engineering, Old Dominion UniversityVerified email at odu.edu
