Jingyang Zhang
Jingyang Zhang
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MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning
X Luo, G Wang, T Song, J Zhang, M Aertsen, J Deprest, S Ourselin, ...
Medical image analysis 72, 102102, 2021
Automatic detection of coronary artery stenosis by convolutional neural network with temporal constraint
W Wu, J Zhang, H Xie, Y Zhao, S Zhang, L Gu
Computers in biology and medicine 118, 103657, 2020
3dsam-adapter: Holistic adaptation of sam from 2d to 3d for promptable medical image segmentation
S Gong, Y Zhong, W Ma, J Li, Z Wang, J Zhang, PA Heng, Q Dou
arXiv preprint arXiv:2306.13465, 2023
Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation
J Zhang, G Wang, H Xie, S Zhang, N Huang, S Zhang, L Gu
Neurocomputing 417, 114-127, 2020
A novel active learning framework for classification: Using weighted rank aggregation to achieve multiple query criteria
Y Zhao, Z Shi, J Zhang, D Chen, L Gu
Pattern Recognition 93, 581-602, 2019
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
R Gu*, J Zhang*, R Huang, W Lei, G Wang, S Zhang
International Conference on Medical Image Computing and Computer-Assisted …, 2021
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures
R Gu*, J Zhang*, G Wang, W Lei, T Song, X Zhang, K Li, S Zhang
IEEE Transactions on Medical Imaging, 2022
Comprehensive importance-based selective regularization for continual segmentation across multiple sites
J Zhang, R Gu, G Wang, L Gu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Progressive deep segmentation of coronary artery via hierarchical topology learning
X Zhang, J Zhang, L Ma, P Xue, Y Hu, D Wu, Y Zhan, J Feng, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2022
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation
R Gu, G Wang, J Lu, J Zhang, W Lei, Y Chen, W Liao, S Zhang, K Li, ...
Medical Image Analysis 89, 102904, 2023
CAR-Net: a deep learning-based deformation model for 3D/2D coronary artery registration
W Wu, J Zhang, W Peng, H Xie, S Zhang, L Gu
IEEE Transactions on Medical Imaging 41 (10), 2715-2727, 2022
SS-CADA: A semi-supervised cross-anatomy domain adaptation for coronary artery segmentation
J Zhang, R Gu, G Wang, H Xie, L Gu
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1227-1231, 2021
Vesselness-constrained robust PCA for vessel enhancement in x-ray coronary angiograms
J Zhang, G Wang, H Xie, S Zhang, Z Shi, L Gu
Physics in Medicine & Biology 63 (15), 155019, 2018
Minimization of annotation work: diagnosis of mammographic masses via active learning
Y Zhao, J Zhang, H Xie, S Zhang, L Gu
Physics in Medicine & Biology 63 (11), 115003, 2018
S3R: Shape and Semantics-based Selective Regularization for Explainable Continual Segmentation across Multiple Sites
J Zhang, R Gu, P Xue, M Liu, H Zheng, Y Zheng, L Ma, G Wang, L Gu
IEEE Transactions on Medical Imaging (Early Access), 2023
Mapping in cycles: Dual-domain pet-ct synthesis framework with cycle-consistent constraints
J Zhang, Z Cui, C Jiang, J Zhang, F Gao, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Vessel enhancement based on length-constrained hessian information
Z Shi, H Xie, J Zhang, J Liu, L Gu
2018 24th international conference on pattern recognition (ICPR), 2869-2874, 2018
Effective lung ventilation estimation based on 4D CT image registration and supervoxels
P Xue, Y Fu, J Zhang, L Ma, M Ren, Z Zhang, E Dong
Biomedical Signal Processing and Control 79, 104074, 2023
Deep co-training active learning for mammographic images classification
Z Yang, W Wu, J Zhang, Y Zhao, L Gu
2020 Chinese Automation Congress (CAC), 1059-1062, 2020
Construction of unbiased dental template and parametric dental model for precision digital dentistry
L Ma*, J Zhang*, K Deng, P Xue, Z Cui, Y Fang, M Tang, Z Yue, M Zhu, ...
arXiv preprint arXiv:2304.03556, 2023
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