| 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 | 224 | 2020 |
| 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 | 172 | 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 | 164 | 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 | 112 | 2020 |
| Intriguing findings of frequency selection for image deblurring X Mao, Y Liu, F Liu, Q Li, W Shen, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1905-1913, 2023 | 99 | 2023 |
| 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 | 91 | 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 | 80 | 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 | 28 | 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 | 28 | 2019 |
| Jssr: A joint synthesis, segmentation, and registration system for 3d multi-modal image alignment of large-scale pathological ct scans F Liu, J Cai, Y Huo, CT Cheng, A Raju, D Jin, J Xiao, A Yuille, L Lu, ... European Conference on Computer Vision, 257-274, 2020 | 26 | 2020 |
| SAME: Deformable image registration based on self-supervised anatomical embeddings F Liu, K Yan, AP Harrison, D Guo, L Lu, AL Yuille, L Huang, G Xie, J Xiao, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 23 | 2021 |
| The felix project: Deep networks to detect pancreatic neoplasms Y Xia, Q Yu, L Chu, S Kawamoto, S Park, F Liu, J Chen, Z Zhu, B Li, ... medRxiv, 2022.09. 24.22280071, 2022 | 20 | 2022 |
| External attention assisted multi-phase splenic vascular injury segmentation with limited data Y Zhou, D Dreizin, Y Wang, F Liu, W Shen, AL Yuille IEEE transactions on medical imaging 41 (6), 1346-1357, 2021 | 20 | 2021 |
| 3D genomic mapping reveals multifocality of human pancreatic precancers AM Braxton, AL Kiemen, MP Grahn, A Forjaz, J Parksong, J Mahesh Babu, ... Nature, 1-9, 2024 | 11 | 2024 |
| Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions AM Braxton, AL Kiemen, MP Grahn, A Forjaz, JM Babu, L Zheng, L Jiang, ... bioRxiv, 2023 | 10 | 2023 |
| Identifying Image Segmentation Quality Using Neural Networks D Yang, D Xu, F Liu, Y Xia US Patent App. 16/380,759, 2020 | 10 | 2020 |
| Unsupervised domain adaptation through shape modeling for medical image segmentation Y Yao, F Liu, Z Zhou, Y Wang, W Shen, A Yuille, Y Lu International Conference on Medical Imaging with Deep Learning, 1444-1458, 2022 | 6 | 2022 |
| Learning to bootstrap for combating label noise Y Zhou, X Li, F Liu, X Chen, L Yu, C Xie, MP Lungren, L Xing arXiv preprint arXiv:2202.04291, 2022 | 5 | 2022 |
| SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation L Tian, Z Li, F Liu, X Bai, J Ge, L Lu, M Niethammer, X Ye, K Yan, D Jin arXiv preprint arXiv:2311.14986, 2023 | 4 | 2023 |
| Fusionnet: Incorporating shape and texture for abnormality detection in 3d abdominal ct scans F Liu, Y Zhou, E Fishman, A Yuille Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 2 | 2019 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
