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Yixiao Zhang
Yixiao Zhang
Verified email at jhu.edu
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Year
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
2222020
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
1512020
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
652023
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
632017
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
432020
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
182023
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
162021
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
132023
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
11*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
92022
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
52021
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
12022
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