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 | 97 | 2021 |
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 | 77 | 2023 |
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 | 61 | 2020 |
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 | 37 | 2020 |
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 | 34 | 2022 |
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 | 30 | 2021 |
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 | 29 | 2019 |
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 | 20 | 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 | 19 | 2023 |
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 | 18 | 2021 |
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 | 13 | 2022 |
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 | 11 | 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 | 8 | 2022 |
Learning towards synchronous network memorizability and generalizability for continual segmentation across multiple sites J Zhang, P Xue, R Gu, Y Gu, M Liu, Y Pan, Z Cui, J Huang, L Ma, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 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 | 8 | 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 | 8 | 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 | 7 | 2018 |
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 | 6 | 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 | 3 | 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 | 3 | 2020 |