| 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 | 118 | 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 | 65 | 2022 |
| Feature memory-based deep recurrent neural network for language modeling H Deng, L Zhang, X Shu Applied Soft Computing 68, 432-446, 2018 | 37 | 2018 |
| Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification L Wang, L Zhang, X Shu, Z Yi Medical Image Analysis 85, 102746, 2023 | 20 | 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 | 20 | 2020 |
| Automatic meningioma segmentation and grading prediction: a hybrid deep-learning method C Chen, Y Cheng, J Xu, T Zhang, X Shu, W Huang, Y Hua, Y Zhang, ... Journal of personalized medicine 11 (8), 786, 2021 | 16 | 2021 |
| 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 | 14 | 2022 |
| Feature-sensitive deep convolutional neural network for multi-instance breast cancer detection Y Wang, L Zhang, X Shu, Y Feng, Z Yi, Q Lv IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 12 | 2021 |
| 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 |
| Deep multiscale multi-instance networks with regional scoring for mammogram classification W Liu, X Shu, L Zhang, D Li, Q Lv IEEE Transactions on Artificial Intelligence 3 (3), 485-496, 2021 | 11 | 2021 |
| 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 | 8 | 2023 |
| Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network C Chen, T Zhang, Y Teng, Y Yu, X Shu, L Zhang, F Zhao, J Xu European Radiology 33 (4), 2665-2675, 2023 | 8 | 2023 |
| 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 | 6 | 2023 |
| 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 | 6 | 2021 |
| 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 |
| Automated, fast, robust brain extraction on contrast-enhanced T1-weighted MRI in presence of brain tumors: an optimized model based on multi-center datasets Y Teng, C Chen, X Shu, F Zhao, L Zhang, J Xu European Radiology 34 (2), 1190-1199, 2024 | 3 | 2024 |
| Construction and evaluation of a gated high-resolution neural network for automatic brain metastasis detection and segmentation J Qu, W Zhang, X Shu, Y Wang, L Wang, M Xu, L Yao, N Hu, B Tang, ... European Radiology 33 (10), 6648-6658, 2023 | 3 | 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 | 3 | 2022 |
| 基于 Seq2Seq 的生成式自动问答系统应用与研究 李武波， 张蕾， 舒鑫 现代计算机, 57-60, 2017 | 3 | 2017 |
| Preoperative volume of the optic chiasm is an easily obtained predictor for visual recovery of pituitary adenoma patients following endoscopic endonasal transsphenoidal surgery … Y Zhang, C Chen, W Huang, Y Teng, X Shu, F Zhao, J Xu, L Zhang International Journal of Surgery 109 (4), 896-904, 2023 | 2 | 2023 |
Zizhou WangA*STAR在 ihpc.a-star.edu.sg 的电子邮件经过验证
Zizhou WangA*STAR在 ihpc.a-star.edu.sg 的电子邮件经过验证
Yi ZhangProfessor of Computer Science, Sichuan University在 scu.edu.cn 的电子邮件经过验证
Yan WangA*STAR在 ihpc.a-star.edu.sg 的电子邮件经过验证