Ehsan Adeli
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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
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
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
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
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
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
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
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
Prediction of significant wave height using regressive support vector machines
J Mahjoobi, EA Mosabbeb
Ocean Engineering 36 (5), 339-347, 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
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
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
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
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
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
Training confounder-free deep learning models for medical applications
Q Zhao, E Adeli, KM Pohl
Nature communications 11 (1), 6010, 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
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
Medical image segmentation review: The success of u-net
R Azad, EK Aghdam, A Rauland, Y Jia, AH Avval, A Bozorgpour, ...
arXiv preprint arXiv:2211.14830, 2022
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
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