| Transunet: Transformers make strong encoders for medical image segmentation J Chen, Y Lu, Q Yu, X Luo, E Adeli, Y Wang, L Lu, AL Yuille, Y Zhou arXiv preprint arXiv:2102.04306, 2021 | 5258 | 2021 |
| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 4661 | 2021 |
| 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 | 910 | 2018 |
| It is not the journey but the destination: Endpoint conditioned trajectory prediction K Mangalam, H Girase, S Agarwal, KH Lee, E Adeli, J Malik, A Gaidon Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 532 | 2020 |
| 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 | 437 | 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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 372 | 2016 |
| Spatio-temporal graph for video captioning with knowledge distillation B Pan, H Cai, DA Huang, KH Lee, A Gaidon, E Adeli, JC Niebles Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 343 | 2020 |
| 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 | 298 | 2018 |
| Medical image segmentation review: The success of u-net R Azad, EK Aghdam, A Rauland, Y Jia, AH Avval, A Bozorgpour, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 275 | 2024 |
| Prediction of significant wave height using regressive support vector machines J Mahjoobi, EA Mosabbeb Ocean Engineering 36 (5), 339-347, 2009 | 247 | 2009 |
| 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 | 213 | 2019 |
| Spatio-temporal graph convolution for resting-state fMRI analysis S Gadgil, Q Zhao, A Pfefferbaum, EV Sullivan, E Adeli, KM Pohl Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 202 | 2020 |
| 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), 1103, 2019 | 199 | 2019 |
| Spatiotemporal relationship reasoning for pedestrian intent prediction B Liu, E Adeli, Z Cao, KH Lee, A Shenoi, A Gaidon, JC Niebles IEEE Robotics and Automation Letters 5 (2), 3485-3492, 2020 | 198 | 2020 |
| 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 | 197 | 2019 |
| 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 | 193 | 2018 |
| Rethinking architecture design for tackling data heterogeneity in federated learning L Qu, Y Zhou, PP Liang, Y Xia, F Wang, E Adeli, L Fei-Fei, D Rubin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 192 | 2022 |
| Training confounder-free deep learning models for medical applications Q Zhao, E Adeli, KM Pohl Nature communications 11 (1), 6010, 2020 | 174 | 2020 |
| 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 | 153 | 2015 |
| Transdeeplab: Convolution-free transformer-based deeplab v3+ for medical image segmentation R Azad, M Heidari, M Shariatnia, EK Aghdam, S Karimijafarbigloo, E Adeli, ... International Workshop on PRedictive Intelligence In MEdicine, 91-102, 2022 | 138 | 2022 |
Kilian M. PohlProfessor, Department of Psychiatry and (by courtesy) Electrical Engineering, Stanford University在 stanford.edu 的电子邮件经过验证