| Breast cancer detection and diagnosis using mammographic data: Systematic review SJS Gardezi, A Elazab, B Lei, T Wang Journal of medical Internet research 21 (7), e14464, 2019 | 217 | 2019 |
| Deep learning framework for Alzheimer’s disease diagnosis via 3D-CNN and FSBi-LSTM C Feng, A Elazab, P Yang, T Wang, F Zhou, H Hu, X Xiao, B Lei IEEE Access 7, 63605-63618, 2019 | 200 | 2019 |
| Lung nodule classification using deep feature fusion in chest radiography C Wang, A Elazab, J Wu, Q Hu Computerized Medical Imaging and Graphics 57, 10-18, 2017 | 140 | 2017 |
| Segmentation of brain tissues from magnetic resonance images using adaptively regularized kernel-based fuzzy c-means clustering A Elazab, C Wang, F Jia, J Wu, G Li, Q Hu Computational and mathematical methods in medicine 2015, 2015 | 123 | 2015 |
| A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning H Lei, T Han, F Zhou, Z Yu, J Qin, A Elazab, B Lei Pattern Recognition 79, 290-302, 2018 | 121 | 2018 |
| Breast cancer image classification via multi-network features and dual-network orthogonal low-rank learning Y Wang, B Lei, A Elazab, EL Tan, W Wang, F Huang, X Gong, T Wang IEEE access 8, 27779-27792, 2020 | 76 | 2020 |
| GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images A Elazab, C Wang, SJS Gardezi, H Bai, Q Hu, T Wang, C Chang, B Lei Neural Networks 132, 321-332, 2020 | 65 | 2020 |
| Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease B Lei, N Cheng, AF Frangi, EL Tan, J Cao, P Yang, A Elazab, J Du, Y Xu, ... Medical image analysis 61, 101652, 2020 | 59 | 2020 |
| Diagnosis of early Alzheimer’s disease based on dynamic high order networks B Lei, S Yu, X Zhao, AF Frangi, EL Tan, A Elazab, T Wang, S Wang Brain imaging and behavior 15, 276-287, 2021 | 46 | 2021 |
| Protein–protein interactions prediction via multimodal deep polynomial network and regularized extreme learning machine H Lei, Y Wen, Z You, A Elazab, EL Tan, Y Zhao, B Lei IEEE journal of biomedical and health informatics 23 (3), 1290-1303, 2018 | 41 | 2018 |
| Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis B Lei, Y Zhao, Z Huang, X Hao, F Zhou, A Elazab, J Qin, H Lei Medical Image Analysis 61, 101632, 2020 | 37 | 2020 |
| Alzheimer’s disease diagnosis framework from incomplete multimodal data using convolutional neural networks M Abdelaziz, T Wang, A Elazab Journal of Biomedical Informatics 121, 103863, 2021 | 35 | 2021 |
| TA-Net: Triple attention network for medical image segmentation Y Li, J Yang, J Ni, A Elazab, J Wu Computers in Biology and Medicine 137, 104836, 2021 | 34 | 2021 |
| Parkinson's disease diagnosis via joint learning from multiple modalities and relations H Lei, Z Huang, F Zhou, A Elazab, EL Tan, H Li, J Qin, B Lei IEEE Journal of Biomedical and Health Informatics 23 (4), 1437-1449, 2018 | 33 | 2018 |
| 3D convolutional neural network and stacked bidirectional recurrent neural network for Alzheimer’s disease diagnosis C Feng, A Elazab, P Yang, T Wang, B Lei, X Xiao PRedictive Intelligence in MEdicine: First International Workshop, PRIME …, 2018 | 31 | 2018 |
| Attention-guided multi-branch convolutional neural network for mitosis detection from histopathological images H Lei, S Liu, A Elazab, X Gong, B Lei IEEE Journal of Biomedical and Health Informatics 25 (2), 358-370, 2020 | 30 | 2020 |
| AMD-GAN: attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images H Xie, H Lei, X Zeng, Y He, G Chen, A Elazab, G Yue, J Wang, G Zhang, ... Neural Networks 132, 477-490, 2020 | 29 | 2020 |
| Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots OM Omisore, S Han, L Ren, A Elazab, L Hui, T Abdelhamid, NA Azeez, ... Neural Networks 107, 34-47, 2018 | 27 | 2018 |
| Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder C Wang, A Elazab, F Jia, J Wu, Q Hu Biomedical engineering online 17, 1-19, 2018 | 26 | 2018 |
| Parkinson’s disease classification and clinical score regression via united embedding and sparse learning from longitudinal data Z Huang, H Lei, G Chen, AF Frangi, Y Xu, A Elazab, J Qin, B Lei IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3357-3371, 2021 | 25 | 2021 |
Baiying LeiDistinguished Professor of Shenzhen UniversityEmail verificata su email.unc.edu
