| 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 | 606 | 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 | 344 | 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 | 166 | 2007 |
| A Few-shot Deep Learning Approach for Improved Intrusion Detection MMU Chowdhury, F Hammond, G Konowicz, J Li, C Xin, H Wu | 136 | 2017 |
| EOG artifact removal using a wavelet neural network HAT Nguyen, J Musson, F Li, W Wang, G Zhang, R Xu, C Richey, ... Neurocomputing, 2012 | 136 | 2012 |
| 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 | 118 | 2019 |
| Achieving 100x Acceleration for N-1 Contingency Screening With Uncertain Scenarios Using Deep Convolutional Neural Network Y Du, F Li, J Li, T Zheng IEEE Transactions on Power Systems 34 (4), 3303-3305, 2019 | 97 | 2019 |
| 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 | 90 | 2011 |
| 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 | 89 | 2008 |
| 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 | 85 | 2006 |
| Vegetation Detection Using Deep Learning and Conventional Methods B Ayhan, C Kwan, B Budavari, L Kwan, Y Lu, D Perez, J Li, D Skarlatos, ... Remote Sensing 12 (15), 2502, 2020 | 81 | 2020 |
| 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 | 79 | 2013 |
| Invisible Poison: A Blackbox Clean Label Backdoor Attack to Deep Neural Networks R Ning, J Li, C Xin, H Wu IEEE INFOCOM, 2021 | 61 | 2021 |
| International Workshop on Machine Learning in Medical Imaging F Li, L Tran, KH Thung, S Ji, D Shen, J Li | 61 | 2014 |
| 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 | 58 | 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 | 57 | 2006 |
| An Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification C Kwan, D Gribben, B Ayhan, J Li, S Bernabe, A Plaza Remote Sensing 12 (23), 3880, 2020 | 53 | 2020 |
| Deep Learning for Land Cover Classification Using Only a Few Bands C Kwan, B Ayhan, B Budavari, Y Lu, D Perez, J Li, S Bernabe, A Plaza Remote Sensing 12 (12), 2000, 2020 | 53 | 2020 |
| A manifold learning approach to urban land cover classification with optical and radar data H Zhang, J Li, T Wang, H Lin, Z Zheng, Y Li, Y Lu Landscape and Urban Planning 172, 11-24, 2018 | 51 | 2018 |
| CapJack: Capture In-Browser Crypto-jacking by Deep Capsule Network through Behavioral Analysis R Ning, C Wang, CS Xin, J Li, L Zhu, H Wu IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1873-1881, 2019 | 50 | 2019 |
Frederic (Rick) D. McKenzieProfessor and Chair of Modeling, Simulation and Visualization Engineering, Old Dominion UniversityVerified email at odu.edu
