| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 1646 | 2022 |
| ibot: Image bert pre-training with online tokenizer J Zhou, C Wei, H Wang, W Shen, C Xie, A Yuille, T Kong arXiv preprint arXiv:2111.07832, 2021 | 1359 | 2021 |
| Multi-oriented text detection with fully convolutional networks Z Zhang, C Zhang, W Shen, C Yao, W Liu, X Bai IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 762 | 2016 |
| DeepContour: A Deep Convolutional Feature Learned by Positive-sharing Loss for Contour Detection W Shen, X Wang, Y Wang, X Bai, Z Zhang IEEE Conference on Computer Vision and Pattern Recognition, 2015 | 760 | 2015 |
| Few-shot image recognition by predicting parameters from activations S Qiao, C Liu, W Shen, AL Yuille IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 705 | 2018 |
| Deep co-training for semi-supervised image recognition S Qiao, W Shen, Z Zhang, B Wang, A Yuille Proceedings of the european conference on computer vision (eccv), 135-152, 2018 | 681 | 2018 |
| Pcl: Proposal cluster learning for weakly supervised object detection P Tang, X Wang, S Bai, W Shen, X Bai, W Liu, A Yuille IEEE transactions on pattern analysis and machine intelligence 42 (1), 176-191, 2018 | 462 | 2018 |
| Intriguing findings of frequency selection for image deblurring X Mao, Y Liu, F Liu, Q Li, W Shen, Y Wang AAAI, 2023 | 438* | 2023 |
| A fixed-point model for pancreas segmentation in abdominal CT scans Y Zhou, L Xie, W Shen, Y Wang, EK Fishman, AL Yuille International conference on medical image computing and computer-assisted …, 2017 | 428* | 2017 |
| Bidirectional copy-paste for semi-supervised medical image segmentation Y Bai, D Chen, Q Li, W Shen, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 418 | 2023 |
| Micro-Batch Training with Batch-Channel Normalization and Weight Standardization S Qiao, H Wang, C Liu, W Shen, A Yuille arXiv preprint arXiv:1903.10520, 2020 | 394 | 2020 |
| Spatial–temporal convolutional neural networks for anomaly detection and localization in crowded scenes S Zhou, W Shen, D Zeng, M Fang, Y Wei, Z Zhang Signal Processing: Image Communication 47, 358-368, 2016 | 360 | 2016 |
| Symmetry-Based Text Line Detection in Natural Scenes Z Zhang, W Shen, C Yao, X Bai IEEE Conference on Computer Vision and Pattern Recognition, 2015 | 340 | 2015 |
| Deep differentiable random forests for age estimation W Shen, Y Guo, Y Wang, K Zhao, B Wang, AL Yuille IEEE transactions on pattern analysis and machine intelligence 43 (2), 404-419, 2021 | 292* | 2021 |
| Segment anything in 3d with radiance fields J Cen, J Fang, Z Zhou, C Yang, L Xie, X Zhang, W Shen, Q Tian International Journal of Computer Vision, 1-23, 2025 | 285* | 2025 |
| Abdominal multi-organ segmentation with organ-attention networks and statistical fusion Y Wang, Y Zhou, W Shen, S Park, EK Fishman, AL Yuille Medical image analysis 55, 88-102, 2019 | 274 | 2019 |
| Single-Shot Object Detection with Enriched Semantics Z Zhang, S Qiao, C Xie, W Shen, B Wang, AL Yuille IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 271 | 2018 |
| Semi-supervised 3D abdominal multi-organ segmentation via deep multi-planar co-training Y Zhou, Y Wang, P Tang, S Bai, W Shen, E Fishman, A Yuille 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 121-140, 2019 | 227* | 2019 |
| Domain adaptive relational reasoning for 3d multi-organ segmentation S Fu, Y Lu, Y Wang, Y Zhou, W Shen, E Fishman, A Yuille International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 226 | 2020 |
| A 3D coarse-to-fine framework for volumetric medical image segmentation Z Zhu, Y Xia, W Shen, E Fishman, A Yuille 2018 International conference on 3D vision (3DV), 682-690, 2018 | 226* | 2018 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
