Yingda Xia
Yingda Xia
Verifierad e-postadress på jhu.edu - Startsida
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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
83*2018
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
International Conference on Medical Image Computing and Computer-Assisted …, 2018
472018
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
412020
Multi-scale coarse-to-fine segmentation for screening pancreatic ductal adenocarcinoma
Z Zhu, Y Xia, L Xie, EK Fishman, AL Yuille
International conference on medical image computing and computer-assisted …, 2019
292019
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
272019
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
232019
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
192020
Synthesize then compare: Detecting failures and anomalies for semantic segmentation
Y Xia, Y Zhang, F Liu, W Shen, AL Yuille
European Conference on Computer Vision, 145-161, 2020
122020
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
112019
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
10*2019
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
102019
End-to-end adversarial shape learning for abdomen organ deep segmentation
J Cai, Y Xia, D Yang, D Xu, L Yang, H Roth
International Workshop on Machine Learning in Medical Imaging, 124-132, 2019
92019
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
62019
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
Y Xia, Q Yu, W Shen, Y Zhou, EK Fishman, AL Yuille
International Conference on Medical Image Computing and Computer-Assisted …, 2020
22020
Glance-and-Gaze Vision Transformer
Q Yu, Y Xia, Y Bai, Y Lu, A Yuille, W Shen
arXiv preprint arXiv:2106.02277, 2021
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
2021
System and method for multi-scale coarse-to-fine segmentation of images to detect pancreatic ductal adenocarcinoma
A Yuille, E Fishman, Z Zhu, Y Xia, L Xie
US Patent App. 16/924,954, 2021
2021
Identifying Image Segmentation Quality Using Neural Networks
D Yang, D Xu, F Liu, Y Xia
US Patent App. 16/380,759, 2020
2020
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Artiklar 1–18