When radiology report generation meets knowledge graph Y Zhang, X Wang, Z Xu, Q Yu, A Yuille, D Xu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12910 …, 2020 | 260 | 2020 |
C2fnas: Coarse-to-fine neural architecture search for 3d medical image segmentation Q Yu, D Yang, H Roth, Y Bai, Y Zhang, AL Yuille, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 157 | 2020 |
Clip-driven universal model for organ segmentation and tumor detection J Liu, Y Zhang, JN Chen, J Xiao, Y Lu, B A Landman, Y Yuan, A Yuille, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 92 | 2023 |
Model-free control for soft manipulators based on reinforcement learning X You, Y Zhang, X Chen, X Liu, Z Wang, H Jiang, X Chen 2017 IEEE/RSJ international conference on intelligent robots and systems …, 2017 | 70 | 2017 |
Performance of a deep learning algorithm for automated segmentation and quantification of traumatic pelvic hematomas on CT D Dreizin, Y Zhou, Y Zhang, N Tirada, AL Yuille Journal of digital imaging 33, 243-251, 2020 | 43 | 2020 |
Squid: Deep feature in-painting for unsupervised anomaly detection T Xiang, Y Zhang, Y Lu, AL Yuille, C Zhang, W Cai, Z Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 35 | 2023 |
Continual learning for abdominal multi-organ and tumor segmentation Y Zhang, X Li, H Chen, AL Yuille, Y Liu, Z Zhou International conference on medical image computing and computer-assisted …, 2023 | 22 | 2023 |
Calibrating concepts and operations: Towards symbolic reasoning on real images Z Li, E Stengel-Eskin, Y Zhang, C Xie, QH Tran, B Van Durme, A Yuille Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16 | 2021 |
In-painting radiography images for unsupervised anomaly detection T Xiang, Y Zhang, Y Lu, AL Yuille, C Zhang, W Cai, Z Zhou arXiv preprint arXiv:2111.13495, 2021 | 13 | 2021 |
Fast advprop J Mei, Y Han, Y Bai, Y Zhang, Y Li, X Li, A Yuille, C Xie arXiv preprint arXiv:2204.09838, 2022 | 11 | 2022 |
A light-weight interpretable compositionalnetwork for nuclei detection and weakly-supervised segmentation Y Zhang, A Kortylewski, Q Liu, S Park, B Green, E Engle, G Almodovar, ... arXiv preprint arXiv:2110.13846, 2021 | 5 | 2021 |
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography J Liu, Y Zhang, K Wang, MC Yavuz, X Chen, Y Yuan, H Li, Y Yang, ... Medical Image Analysis, 103226, 2024 | 2 | 2024 |
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images T Xiang, Y Zhang, Y Lu, A Yuille, C Zhang, W Cai, Z Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 2 | 2024 |
A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation Y Zhang, A Kortylewski, Q Liu, S Park, B Green, E Engle, G Almodovar, ... International Workshop on Medical Optical Imaging and Virtual Microscopy …, 2022 | | 2022 |