| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 1151 | 2022 |
| Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Y Xia, D Yang, Z Yu, F Liu, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth Medical Image Analysis 65, 101766, 2020 | 257 | 2020 |
| 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 | 213 | 2022 |
| 3d semi-supervised learning with uncertainty-aware multi-view co-training Y Xia, F Liu, D Yang, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 187 | 2020 |
| Synthesize then compare: Detecting failures and anomalies for semantic segmentation Y Xia, Y Zhang, F Liu, W Shen, AL Yuille Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 176 | 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 | 170 | 2018 |
| Iterative reorganization with weak spatial constraints: Solving arbitrary jigsaw puzzles for unsupervised representation learning C Wei, L Xie, X Ren, Y Xia, C Su, J Liu, Q Tian, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 166* | 2019 |
| Large-scale pancreatic cancer detection via non-contrast CT and deep learning K Cao, Y Xia, J Yao, X Han, L Lambert, T Zhang, W Tang, G Jin, H Jiang, ... Nature medicine 29 (12), 3033-3043, 2023 | 138 | 2023 |
| Multi-scale coarse-to-fine segmentation for screening pancreatic ductal adenocarcinoma Z Zhu, Y Xia, L Xie, EK Fishman, AL Yuille Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 135 | 2019 |
| Bridging the gap between 2d and 3d organ segmentation with volumetric fusion net Y Xia, L Xie, F Liu, Z Zhu, EK Fishman, AL Yuille Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 98 | 2018 |
| 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 | 86 | 2019 |
| Glance-and-gaze vision transformer Q Yu, Y Xia, Y Bai, Y Lu, AL Yuille, W Shen Advances in Neural Information Processing Systems 34, 12992-13003, 2021 | 80 | 2021 |
| Auto-FedAvg: learnable federated averaging for multi-institutional medical image segmentation Y Xia, D Yang, W Li, A Myronenko, D Xu, H Obinata, H Mori, P An, ... arXiv preprint arXiv:2104.10195, 2021 | 69 | 2021 |
| Thickened 2D networks for efficient 3D medical image segmentation Q Yu, Y Xia, L Xie, EK Fishman, AL Yuille arXiv preprint arXiv:1904.01150, 2019 | 56 | 2019 |
| A 3d coarse-to-fine framework for automatic pancreas segmentation Z Zhu, Y Xia, W Shen, EK Fishman, AL Yuille arXiv preprint arXiv:1712.00201 2, 2, 2017 | 44 | 2017 |
| Effective pancreatic cancer screening on non-contrast CT scans via anatomy-aware transformers Y Xia, J Yao, L Lu, L Huang, G Xie, J Xiao, A Yuille, K Cao, L Zhang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 37 | 2021 |
| Deep learning for fully automated prediction of overall survival in patients undergoing resection for pancreatic cancer: a retrospective multicenter study J Yao, K Cao, Y Hou, J Zhou, Y Xia, I Nogues, Q Song, H Jiang, X Ye, J Lu, ... Annals of surgery 278 (1), e68-e79, 2023 | 35 | 2023 |
| Volumetric medical image segmentation: A 3d deep coarse-to-fine framework and its adversarial examples Y Li, Z Zhu, Y Zhou, Y Xia, W Shen, EK Fishman, AL Yuille Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019 | 33 | 2019 |
| Joint shape representation and classification for detecting PDAC F Liu, L Xie, Y Xia, E Fishman, A Yuille International workshop on machine learning in medical imaging, 212-220, 2019 | 32 | 2019 |
| An alarm system for segmentation algorithm based on shape model F Liu, Y Xia, D Yang, AL Yuille, D Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 30 | 2019 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
