| 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 | 806 | 2021 |
| 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 | 740 | 2017 |
| 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 | 572 | 2019 |
| 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 | 290* | 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 | 190 | 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 | 142 | 2019 |
| 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 | 131* | 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 | 121 | 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 | 88 | 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 | 86 | 2017 |
| 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 | 55 | 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 | 53 | 2019 |
| 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 | 51* | 2020 |
| Neural architecture search for lightweight non-local networks Y Li, X Jin, J Mei, X Lian, L Yang, C Xie, Q Yu, Y Zhou, S Bai, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 50 | 2020 |
| 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 | 43 | 2020 |
| 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 | 40 | 2020 |
| Visual concepts and compositional voting J Wang, Z Zhang, C Xie, Y Zhou, V Premachandran, J Zhu, L Xie, A Yuille arXiv preprint arXiv:1711.04451, 2017 | 37 | 2017 |
| Hyper-pairing network for multi-phase pancreatic ductal adenocarcinoma segmentation Y Zhou, Y Li, Z Zhang, Y Wang, A Wang, EK Fishman, AL Yuille, S Park International conference on medical image computing and computer-assisted …, 2019 | 34 | 2019 |
| Recurrent saliency transformation network for tiny target segmentation in abdominal CT scans L Xie, Q Yu, Y Zhou, Y Wang, EK Fishman, AL Yuille IEEE transactions on medical imaging 39 (2), 514-525, 2019 | 32 | 2019 |
| Can temporal information help with contrastive self-supervised learning? Y Bai, H Fan, I Misra, G Venkatesh, Y Lu, Y Zhou, Q Yu, V Chandra, ... arXiv preprint arXiv:2011.13046, 2020 | 29 | 2020 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
