Xin Shu

According to our database, Xin Shu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Annotation Correlation Based Multi-Annotation Learning for Calibrated Medical Image Segmentation.

Wei Huang, Lei Zhang, Xin Shu, Zizhou Wang, Zhang Yi

IEEE J. Biomed. Health Informatics, December, 2024

2023

Boundary-Aware Network With Topological Consistency Constraint for Optic Chiasm Segmentation.

Wei Huang, Xin Shu, Zizhou Wang, Chaoyue Chen, Yang Zhang, Lei Zhang, Jianguo Xu

IEEE Trans. Artif. Intell., December, 2023

A feature-wise attention module based on the difference with surrounding features for convolutional neural networks.

Shuo Tan, Lei Zhang, Xin Shu, Zizhou Wang

Frontiers Comput. Sci., December, 2023

Consistent representation via contrastive learning for skin lesion diagnosis.

Zizhou Wang, Lei Zhang, Xin Shu, Yan Wang, Yangqin Feng

Comput. Methods Programs Biomed., December, 2023

Deep Slice-Crossed Network With Local Weighted Loss for Brain Metastases Segmentation.

Xin Shu, Lei Zhang, Jiao Qu, Lituan Wang, Zizhou Wang, Wenjing Zhang, Ying Wang, Su Lui

IEEE Trans. Cogn. Dev. Syst., September, 2023

Multi-instance learning based on spatial continuous category representation for case-level meningioma grading in MRI images.

Jiayi Li, Lei Zhang, Xin Shu, Yuen Teng, Jianguo Xu

Appl. Intell., June, 2023

Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification.

Lituan Wang, Lei Zhang, Xin Shu, Zhang Yi

Medical Image Anal., April, 2023

A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems.

Zizhou Wang, Xin Shu, Yan Wang, Yangqin Feng, Lei Zhang, Zhang Yi

IEEE Trans. Cybern., 2023

Fine-grained recognition: Multi-granularity labels and category similarity matrix.

Xin Shu, Lei Zhang, Zizhou Wang, Lituan Wang, Zhang Yi

Knowl. Based Syst., 2023

2022

Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation.

Wei Huang, Xin Shu, Zizhou Wang, Lei Zhang, Chaoyue Chen, Jianguo Xu, Zhang Yi

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection.

Yan Wang, Lei Zhang, Xin Shu, Yangqin Feng, Zhang Yi, Qing Lv

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Deep Multiscale Multi-Instance Networks With Regional Scoring for Mammogram Classification.

Wenjie Liu, Xin Shu, Lei Zhang, Dong Li, Qing Lv

IEEE Trans. Artif. Intell., 2022

Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation.

Yu Hua, Xin Shu, Zizhou Wang, Lei Zhang

Int. J. Neural Syst., 2022

A Coarse-to-Fine Network for Craniopharyngioma Segmentation.

Yijie Yu, Lei Zhang, Xin Shu, Zizhou Wang, Chaoyue Chen, Jianguo Xu

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021

An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature.

Zizhou Wang, Lei Zhang, Xin Shu, Qing Lv, Zhang Yi

IEEE Trans. Cogn. Dev. Syst., 2021

A semi-symmetric domain adaptation network based on multi-level adversarial features for meningioma segmentation.

Zizhou Wang, Xin Shu, Chaoyue Chen, Yuen Teng, Lei Zhang, Jianguo Xu

Knowl. Based Syst., 2021

2020

Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification.

Xin Shu, Lei Zhang, Zizhou Wang, Qing Lv, Zhang Yi

IEEE Trans. Medical Imaging, 2020

2018

Feature memory-based deep recurrent neural network for language modeling.

Hongli Deng, Lei Zhang, Xin Shu

Appl. Soft Comput., 2018