Deep neural networks with region-based pooling structures for mammographic image classification X Shu, L Zhang, Z Wang, Q Lv, Z Yi IEEE transactions on medical imaging 39 (6), 2246-2255, 2020 | 136 | 2020 |
Uncertainty-guided voxel-level supervised contrastive learning for semi-supervised medical image segmentation Y Hua, X Shu, Z Wang, L Zhang International journal of neural systems 32 (04), 2250016, 2022 | 83 | 2022 |
Multitask learning for object localization with deep reinforcement learning Y Wang, L Zhang, L Wang, Z Wang IEEE Transactions on Cognitive and Developmental Systems 11 (4), 573-580, 2018 | 49 | 2018 |
Deep adversarial domain adaptation for breast cancer screening from mammograms Y Wang, Y Feng, L Zhang, Z Wang, Q Lv, Z Yi Medical image analysis 73, 102147, 2021 | 29 | 2021 |
WDCCNet: Weighted double-classifier constraint neural network for mammographic image classification Y Wang, Z Wang, Y Feng, L Zhang IEEE Transactions on Medical Imaging 41 (3), 559-570, 2021 | 24 | 2021 |
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis Y Feng, Z Wang, X Xu, Y Wang, H Fu, S Li, L Zhen, X Lei, Y Cui, JSZ Ting, ... Medical Image Analysis 83, 102664, 2023 | 22 | 2023 |
An end-to-end mammogram diagnosis: A new multi-instance and multiscale method based on single-image feature Z Wang, L Zhang, X Shu, Q Lv, Z Yi IEEE Transactions on Cognitive and Developmental Systems 13 (3), 535-545, 2020 | 21 | 2020 |
A feature space-restricted attention attack on medical deep learning systems Z Wang, X Shu, Y Wang, Y Feng, L Zhang, Z Yi IEEE Transactions on Cybernetics 53 (8), 5323-5335, 2022 | 15 | 2022 |
A feature-wise attention module based on the difference with surrounding features for convolutional neural networks S Tan, L Zhang, X Shu, Z Wang Frontiers of Computer Science 17 (6), 176338, 2023 | 13 | 2023 |
Mednas: Multiscale training-free neural architecture search for medical image analysis Y Wang, L Zhen, J Zhang, M Li, L Zhang, Z Wang, Y Feng, Y Xue, X Wang, ... IEEE Transactions on Evolutionary Computation 28 (3), 668-681, 2024 | 12 | 2024 |
Feature pyramid network with level-aware attention for meningioma segmentation W Huang, X Shu, Z Wang, L Zhang, C Chen, J Xu, Z Yi IEEE Transactions on Emerging Topics in Computational Intelligence 6 (5 …, 2022 | 11 | 2022 |
Image caption and medical report generation based on deep learning: a review and algorithm analysis R Li, Z Wang, L Zhang 2021 International Conference on Computer Information Science and Artificial …, 2021 | 10 | 2021 |
Geometric correspondence-based multimodal learning for ophthalmic image analysis Y Wang, L Zhen, TE Tan, H Fu, Y Feng, Z Wang, X Xu, RSM Goh, Y Ng, ... IEEE Transactions on Medical Imaging 43 (5), 1945-1957, 2024 | 8 | 2024 |
Fine-grained recognition: Multi-granularity labels and category similarity matrix X Shu, L Zhang, Z Wang, L Wang, Z Yi Knowledge-Based Systems 273, 110599, 2023 | 8 | 2023 |
Breast cancer X-ray image staging: based on efficient net with multi-scale fusion and cbam attention R Li, S Wang, Z Wang, L Zhang Journal of Physics: Conference Series 2082 (1), 012006, 2021 | 8 | 2021 |
A semi-symmetric domain adaptation network based on multi-level adversarial features for meningioma segmentation Z Wang, X Shu, C Chen, Y Teng, L Zhang, J Xu Knowledge-Based Systems 228, 107245, 2021 | 7 | 2021 |
Deep slice-crossed network with local weighted loss for brain metastases segmentation X Shu, L Zhang, J Qu, L Wang, Z Wang, W Zhang, Y Wang, S Lui IEEE Transactions on Cognitive and Developmental Systems 15 (3), 1419-1429, 2022 | 4 | 2022 |
Boundary-aware network with topological consistency constraint for optic chiasm segmentation W Huang, X Shu, Z Wang, C Chen, Y Zhang, L Zhang, J Xu IEEE Transactions on Artificial Intelligence 4 (6), 1504-1513, 2022 | 4 | 2022 |
Exploring inherent consistency for semi-supervised anatomical structure segmentation in medical imaging W Huang, L Zhang, Z Wang, L Wang IEEE Transactions on Medical Imaging, 2024 | 3 | 2024 |
Learning representation via indirect feature decorrelation with bi-vector-based contrastive learning for clustering X Xie, L Zhang, Y Wang, Z Wang, Y Hua Information Sciences 625, 141-156, 2023 | 2 | 2023 |