| 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 | 109 | 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 | 47 | 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 | 45 | 2018 |
| 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 | 20 | 2020 |
| 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 | 19 | 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 | 13 | 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 | 12 | 2023 |
| 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, 2022 | 9 | 2022 |
| 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 | 7 | 2022 |
| 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 | 6 | 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 | 4 | 2021 |
| 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 | 4 | 2021 |
| 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 | 3 | 2023 |
| 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, 2022 | 2 | 2022 |
| Consistent representation via contrastive learning for skin lesion diagnosis Z Wang, L Zhang, X Shu, Y Wang, Y Feng Computer Methods and Programs in Biomedicine 242, 107826, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs Y Feng, J Sim Zheng Ting, X Xu, C Bee Kun, E Ong Tien En, ... Diagnostics 13 (8), 1397, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| A Coarse-to-Fine Network for Craniopharyngioma Segmentation Y Yu, L Zhang, X Shu, Z Wang, C Chen, J Xu International Workshop on Machine Learning in Medical Imaging, 91-100, 2022 | | 2022 |
Xin ShuPHD of SCUVerified email at stu.scu.edu.cn
