| Adversarially learned one-class classifier for novelty detection M Sabokrou, M Khalooei, M Fathy, E Adeli Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 254 | 2018 |
| 3D deep learning for multi-modal imaging-guided survival time prediction of brain tumor patients D Nie, H Zhang, E Adeli, L Liu, D Shen International conference on medical image computing and computer-assisted …, 2016 | 189 | 2016 |
| Landmark-based deep multi-instance learning for brain disease diagnosis M Liu, J Zhang, E Adeli, D Shen Medical image analysis 43, 157-168, 2018 | 143 | 2018 |
| Prediction of significant wave height using regressive support vector machines J Mahjoobi, EA Mosabbeb Ocean Engineering 36 (5), 339-347, 2009 | 120 | 2009 |
| Inherent structure-based multiview learning with multitemplate feature representation for Alzheimer's disease diagnosis M Liu, D Zhang, E Adeli, D Shen IEEE Transactions on Biomedical Engineering 63 (7), 1473-1482, 2015 | 85 | 2015 |
| 3-D fully convolutional networks for multimodal isointense infant brain image segmentation D Nie, L Wang, E Adeli, C Lao, W Lin, D Shen IEEE transactions on cybernetics 49 (3), 1123-1136, 2018 | 82 | 2018 |
| Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data E Adeli, F Shi, L An, CY Wee, G Wu, T Wang, D Shen NeuroImage 141, 206-219, 2016 | 61 | 2016 |
| Deep relative attributes Y Souri, E Noury, E Adeli Asian conference on computer vision, 118-133, 2016 | 57 | 2016 |
| Multi-channel 3D deep feature learning for survival time prediction of brain tumor patients using multi-modal neuroimages D Nie, J Lu, H Zhang, E Adeli, J Wang, Z Yu, LY Liu, Q Wang, J Wu, ... Scientific reports 9 (1), 1-14, 2019 | 54 | 2019 |
| Joint classification and regression via deep multi-task multi-channel learning for Alzheimer's disease diagnosis M Liu, J Zhang, E Adeli, D Shen IEEE Transactions on Biomedical Engineering 66 (5), 1195-1206, 2018 | 54 | 2018 |
| Avid: Adversarial visual irregularity detection M Sabokrou, M Pourreza, M Fayyaz, R Entezari, M Fathy, J Gall, E Adeli Asian Conference on Computer Vision, 488-505, 2018 | 48 | 2018 |
| Action-agnostic human pose forecasting H Chiu, E Adeli, B Wang, DA Huang, JC Niebles 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1423-1432, 2019 | 46 | 2019 |
| High-resolution encoder–decoder networks for low-contrast medical image segmentation S Zhou, D Nie, E Adeli, J Yin, J Lian, D Shen IEEE Transactions on Image Processing 29, 461-475, 2019 | 39 | 2019 |
| Semi-supervised discriminative classification robust to sample-outliers and feature-noises E Adeli, KH Thung, L An, G Wu, F Shi, T Wang, D Shen IEEE transactions on pattern analysis and machine intelligence 41 (2), 515-522, 2018 | 38 | 2018 |
| Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion KH Thung, PT Yap, E Adeli, SW Lee, D Shen, ... Medical image analysis 45, 68-82, 2018 | 35 | 2018 |
| End-to-end Alzheimer’s disease diagnosis and biomarker identification S Esmaeilzadeh, DI Belivanis, KM Pohl, E Adeli International Workshop on Machine Learning in Medical Imaging, 337-345, 2018 | 32 | 2018 |
| Kernel-based joint feature selection and max-margin classification for early diagnosis of Parkinson’s disease E Adeli, G Wu, B Saghafi, L An, F Shi, D Shen Scientific reports 7 (1), 1-14, 2017 | 30 | 2017 |
| Multi-label discriminative weakly-supervised human activity recognition and localization EA Mosabbeb, R Cabral, F De la Torre, M Fathy Asian conference on computer vision, 241-258, 2014 | 30 | 2014 |
| Multi-view human activity recognition in distributed camera sensor networks E Adeli Mosabbeb, K Raahemifar, M Fathy Sensors 13 (7), 8750-8770, 2013 | 28 | 2013 |
| Deep multi-task multi-channel learning for joint classification and regression of brain status M Liu, J Zhang, E Adeli, D Shen International conference on medical image computing and computer-assisted …, 2017 | 26 | 2017 |
Dinggang ShenProfessor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
