| 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 | 5555 | 2021 |
| Improving transferability of adversarial examples with input diversity C Xie, Z Zhang, Y Zhou, S Bai, J Wang, Z Ren, AL Yuille Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1406 | 2019 |
| Adversarial Examples for Semantic Segmentation and Object Detection C Xie, J Wang, Z Zhang, Y Zhou, L Xie, A Yuille International Conference on Computer Vision, 2017 | 1213 | 2017 |
| 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 | 406* | 2017 |
| Recurrent saliency transformation network: Incorporating multi-stage visual cues for small organ segmentation Q Yu, L Xie, Y Wang, Y Zhou, EK Fishman, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 278 | 2018 |
| 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 | 238 | 2019 |
| Prior-aware neural network for partially-supervised multi-organ segmentation Y Zhou, Z Li, S Bai, C Wang, X Chen, M Han, E Fishman, AL Yuille Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 228 | 2019 |
| Universal physical camouflage attacks on object detectors L Huang, C Gao, Y Zhou, C Xie, AL Yuille, C Zou, N Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 221 | 2020 |
| A generalist vision–language foundation model for diverse biomedical tasks K Zhang, R Zhou, E Adhikarla, Z Yan, Y Liu, J Yu, Z Liu, X Chen, ... Nature Medicine, 1-13, 2024 | 208* | 2024 |
| 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 | 208* | 2019 |
| 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 | 204 | 2022 |
| Domain adaptive relational reasoning for 3d multi-organ segmentation S Fu, Y Lu, Y Wang, Y Zhou, W Shen, E Fishman, A Yuille Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 186 | 2020 |
| Learning transferable adversarial examples via ghost networks Y Li, S Bai, Y Zhou, C Xie, Z Zhang, A Yuille Proceedings of the AAAI conference on artificial intelligence 34 (07), 11458 …, 2020 | 162 | 2020 |
| Multi-granularity cross-modal alignment for generalized medical visual representation learning F Wang, Y Zhou, S Wang, V Vardhanabhuti, L Yu Advances in Neural Information Processing Systems 35, 33536-33549, 2022 | 137 | 2022 |
| Deep distance transform for tubular structure segmentation in ct scans Y Wang, X Wei, F Liu, J Chen, Y Zhou, W Shen, EK Fishman, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 135 | 2020 |
| Deep supervision for pancreatic cyst segmentation in abdominal CT scans Y Zhou, L Xie, EK Fishman, AL Yuille International conference on medical image computing and computer-assisted …, 2017 | 121 | 2017 |
| Label-efficient self-supervised federated learning for tackling data heterogeneity in medical imaging R Yan, L Qu, Q Wei, SC Huang, L Shen, DL Rubin, L Xing, Y Zhou IEEE Transactions on Medical Imaging 42 (7), 1932-1943, 2023 | 111 | 2023 |
| TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers J Chen, J Mei, X Li, Y Lu, Q Yu, Q Wei, X Luo, Y Xie, E Adeli, Y Wang, ... Medical Image Analysis 97, 103280, 2024 | 109 | 2024 |
| Adversarial metric attack and defense for person re-identification S Bai, Y Li, Y Zhou, Q Li, PHS Torr IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (6), 2119-2126, 2020 | 98 | 2020 |
| Application of deep learning to pancreatic cancer detection: lessons learned from our initial experience LC Chu, S Park, S Kawamoto, Y Wang, Y Zhou, W Shen, Z Zhu, Y Xia, ... Journal of the American College of Radiology 16 (9), 1338-1342, 2019 | 84 | 2019 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
