Feature memory-based deep recurrent neural network for language modeling. - Hongli Deng; Lei Zhang 005; Xin Shu 005 (Appl. Soft Comput., 2018)

Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification. - Xin Shu 005; Lei Zhang 005; Zizhou Wang; Qing Lv; Zhang Yi 001 (IEEE Trans. Medical Imaging, 2020)

A semi-symmetric domain adaptation network based on multi-level adversarial features for meningioma segmentation. - Zizhou Wang; Xin Shu 005; Chaoyue Chen; Yuen Teng; Lei Zhang 005; Jianguo Xu (Knowl. Based Syst., 2021)

An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature. - Zizhou Wang; Lei Zhang 005; Xin Shu 005; Qing Lv; Zhang Yi 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

A Coarse-to-Fine Network for Craniopharyngioma Segmentation. - Yijie Yu 001; Lei Zhang 005; Xin Shu 005; Zizhou Wang; Chaoyue Chen; Jianguo Xu (MLMI@MICCAI, 2022)

Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Yu Hua; Xin Shu 005; Zizhou Wang; Lei Zhang 005 (Int. J. Neural Syst., 2022)

Deep Multiscale Multi-Instance Networks With Regional Scoring for Mammogram Classification. - Wenjie Liu 010; Xin Shu 005; Lei Zhang 005; Dong Li 051; Qing Lv (IEEE Trans. Artif. Intell., 2022)

Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection. - Yan Wang 015; Lei Zhang 005; Xin Shu 005; Yangqin Feng; Zhang Yi 001; Qing Lv (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation. - Wei Huang; Xin Shu 005; Zizhou Wang; Lei Zhang 005; Chaoyue Chen; Jianguo Xu; Zhang Yi 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Fine-grained recognition: Multi-granularity labels and category similarity matrix. - Xin Shu 005; Lei Zhang 005; Zizhou Wang; Lituan Wang; Zhang Yi 001 (Knowl. Based Syst., 2023)

A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems. - Zizhou Wang; Xin Shu 005; Yan Wang 015; Yangqin Feng; Lei Zhang 005; Zhang Yi 001 (IEEE Trans. Cybern., 2023)

Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification. - Lituan Wang; Lei Zhang 005; Xin Shu 005; Zhang Yi 001 (Medical Image Anal., 2023)

Multi-instance learning based on spatial continuous category representation for case-level meningioma grading in MRI images. - Jiayi Li; Lei Zhang 005; Xin Shu 005; Yuen Teng; Jianguo Xu (Appl. Intell., 2023)

Deep Slice-Crossed Network With Local Weighted Loss for Brain Metastases Segmentation. - Xin Shu 005; Lei Zhang 005; Jiao Qu; Lituan Wang; Zizhou Wang; Wenjing Zhang; Ying Wang; Su Lui (IEEE Trans. Cogn. Dev. Syst., 2023)

Consistent representation via contrastive learning for skin lesion diagnosis. - Zizhou Wang; Lei Zhang 005; Xin Shu 005; Yan Wang 015; Yangqin Feng (Comput. Methods Programs Biomed., 2023)

A feature-wise attention module based on the difference with surrounding features for convolutional neural networks. - Shuo Tan; Lei Zhang 005; Xin Shu 005; Zizhou Wang (Frontiers Comput. Sci., 2023)

Boundary-Aware Network With Topological Consistency Constraint for Optic Chiasm Segmentation. - Wei Huang; Xin Shu 005; Zizhou Wang; Chaoyue Chen; Yang Zhang; Lei Zhang 005; Jianguo Xu (IEEE Trans. Artif. Intell., 2023)

Adaptive Annotation Correlation Based Multi-Annotation Learning for Calibrated Medical Image Segmentation. - Wei Huang; Lei Zhang 005; Xin Shu 005; Zizhou Wang; Zhang Yi 001 (IEEE J. Biomed. Health Informatics, 2024)