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2020 – today
- 2024
[j17]Wei Huang
, Lei Zhang, Xin Shu, Zizhou Wang, Zhang Yi:
Adaptive Annotation Correlation Based Multi-Annotation Learning for Calibrated Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(12): 7175-7183 (2024)- 2023
- [j16]Jiayi Li, Lei Zhang, Xin Shu, Yuen Teng, Jianguo Xu:
Multi-instance learning based on spatial continuous category representation for case-level meningioma grading in MRI images. Appl. Intell. 53(12): 16015-16028 (2023) - [j15]Zizhou Wang, Lei Zhang, Xin Shu, Yan Wang, Yangqin Feng:
Consistent representation via contrastive learning for skin lesion diagnosis. Comput. Methods Programs Biomed. 242: 107826 (2023) - [j14]Shuo Tan, Lei Zhang, Xin Shu, Zizhou Wang:
A feature-wise attention module based on the difference with surrounding features for convolutional neural networks. Frontiers Comput. Sci. 17(6): 176338 (2023) - [j13]Xin Shu, Lei Zhang, Zizhou Wang, Lituan Wang, Zhang Yi:
Fine-grained recognition: Multi-granularity labels and category similarity matrix. Knowl. Based Syst. 273: 110599 (2023) - [j12]Lituan Wang, Lei Zhang, Xin Shu, Zhang Yi:
Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification. Medical Image Anal. 85: 102746 (2023) - [j11]Wei Huang, Xin Shu, Zizhou Wang, Chaoyue Chen, Yang Zhang, Lei Zhang, Jianguo Xu:
Boundary-Aware Network With Topological Consistency Constraint for Optic Chiasm Segmentation. IEEE Trans. Artif. Intell. 4(6): 1504-1513 (2023) - [j10]Xin Shu, Lei Zhang, Jiao Qu, Lituan Wang, Zizhou Wang, Wenjing Zhang, Ying Wang, Su Lui:
Deep Slice-Crossed Network With Local Weighted Loss for Brain Metastases Segmentation. IEEE Trans. Cogn. Dev. Syst. 15(3): 1419-1429 (2023) - [j9]Zizhou Wang, Xin Shu, Yan Wang, Yangqin Feng, Lei Zhang, Zhang Yi:
A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems. IEEE Trans. Cybern. 53(8): 5323-5335 (2023) - 2022
- [j8]Yu Hua, Xin Shu, Zizhou Wang, Lei Zhang:
Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation. Int. J. Neural Syst. 32(4): 2250016:1-2250016:16 (2022) - [j7]Wenjie Liu, Xin Shu, Lei Zhang, Dong Li, Qing Lv:
Deep Multiscale Multi-Instance Networks With Regional Scoring for Mammogram Classification. IEEE Trans. Artif. Intell. 3(3): 485-496 (2022) - [j6]Yan Wang, Lei Zhang, Xin Shu, Yangqin Feng, Zhang Yi, Qing Lv:
Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2241-2251 (2022) - [j5]Wei Huang, Xin Shu, Zizhou Wang, Lei Zhang, Chaoyue Chen, Jianguo Xu, Zhang Yi:
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1201-1210 (2022) - [c1]Yijie Yu, Lei Zhang, Xin Shu, Zizhou Wang, Chaoyue Chen, Jianguo Xu:
A Coarse-to-Fine Network for Craniopharyngioma Segmentation. MLMI@MICCAI 2022: 91-100 - 2021
- [j4]Zizhou Wang, Xin Shu, Chaoyue Chen, Yuen Teng, Lei Zhang, Jianguo Xu:
A semi-symmetric domain adaptation network based on multi-level adversarial features for meningioma segmentation. Knowl. Based Syst. 228: 107245 (2021) - [j3]Zizhou Wang, Lei Zhang, Xin Shu, Qing Lv, Zhang Yi:
An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature. IEEE Trans. Cogn. Dev. Syst. 13(3): 535-545 (2021) - 2020
- [j2]Xin Shu, Lei Zhang, Zizhou Wang, Qing Lv, Zhang Yi:
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification. IEEE Trans. Medical Imaging 39(6): 2246-2255 (2020)
2010 – 2019
- 2018
- [j1]Hongli Deng, Lei Zhang, Xin Shu:
Feature memory-based deep recurrent neural network for language modeling. Appl. Soft Comput. 68: 432-446 (2018)
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