Bin Zhao

According to our database, Bin Zhao authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

DGAA: Domain Generalization with Amplitude Alignment.

Chuan Xiong, Bin Zhao, Shuxue Ding

Biomed. Signal Process. Control., 2026

2025

CrossMatch: Enhance Semi-Supervised Medical Image Segmentation With Perturbation Strategies and Knowledge Distillation.

Bin Zhao, Chunshi Wang, Shuxue Ding

IEEE J. Biomed. Health Informatics, September, 2025

CycleMatch: Cyclic pseudo-labeling distillation in semi-supervised medical image segmentation.

Chunshi Wang, Chuan Xiong, Bin Zhao, Shuxue Ding

Pattern Recognit. Lett., 2025

MLCL: Remote Sensing Change Detection Using Multi-level Contrastive Learning.

Yizhou Liang, Chunshi Wang, Bin Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Improve Self-supervision Learning by Enhancing Invariant Information.

Xuhao Pan, Chunshi Wang, Bin Zhao, Huaji Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Multidimensional perturbed consistency learning for semi-supervised medical image segmentation.

Enze Yuan, Bin Zhao, Xiao Qin, Shuxue Ding

Int. J. Imaging Syst. Technol., 2024

A Novel Two-Stage Approach for 3D Dental Tooth Instance Segmentation.

Yuhan Chen, Chunshi Wang, Bin Zhao

Proceedings of the Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data, 2024

Enhanced semi-supervised medical image segmentation based on dual-scale image perturbation strategy and knowledge distillation.

Yifan Wang, Haidong Liang, Chunshi Wang, Bin Zhao

Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science, 2024

SCANet: Split Coordinate Attention Network for Building Footprint Extraction.

Chunshi Wang, Bin Zhao, Shuxue Ding

Proceedings of the Neural Information Processing - 31st International Conference, 2024

DistillMatch: Revisiting Self-Knowledge Distillation in Semi-Supervised Medical Image Segmentation.

Chunshi Wang, Bin Zhao, Zhiyang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

SymMatch: Symmetric Bi-Scale Matching with Self-Knowledge Distillation in Semi-Supervised Medical Image Segmentation.

Chunshi Wang, Shougan Teng, Shaohua Sun, Bin Zhao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

DCA-Net: Data-Driven Collaborative Assistance Network for Semi-supervised Medical Segmentation.

Yuhan Chen, Chunshi Wang, Bin Zhao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Bar transformer: a hierarchical model for learning long-term structure and generating impressive pop music.

Yang Qin, Huiming Xie, Shuxue Ding, Benying Tan, Yujie Li, Bin Zhao, Mao Ye

Appl. Intell., May, 2023

A Multi-stage Framework for 3D Individual Tooth Segmentation in Dental CBCT.

Chunshi Wang, Bin Zhao, Shuxue Ding

Proceedings of the Semi-supervised Tooth Segmentation - First MICCAI Challenge, 2023

Rib Fracture Segmentation Based on 3D FM-Unet.

Bin Zhao, Ting Yang, Zhaowei Xin, Chunshi Wang

Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

2022

Combine unlabeled with labeled MR images to measure acute ischemic stroke lesion by stepwise learning.

Bin Zhao, Zhiyang Liu, Guohua Liu, Mengran Wu, Chen Cao, Song Jin, Hong Wu, Shuxue Ding

IET Image Process., 2022

Brain gray matter nuclei segmentation on quantitative susceptibility mapping using dual-branch convolutional neural network.

Chao Chai, Pengchong Qiao, Bin Zhao, Huiying Wang, Guohua Liu, Hong Wu, Wen Shen, Chen Cao, Xinchen Ye, Zhiyang Liu, Shuang Xia

Artif. Intell. Medicine, 2022

2021

Automatic Acute Ischemic Stroke Lesion Segmentation Using Semi-supervised Learning.

Bin Zhao, Shuxue Ding, Hong Wu, Guohua Liu, Chen Cao, Song Jin, Zhiyang Liu

Int. J. Comput. Intell. Syst., 2021

Deep Learning-Based Acute Ischemic Stroke Lesion Segmentation Method on Multimodal MR Images Using a Few Fully Labeled Subjects.

Bin Zhao, Zhiyang Liu, Guohua Liu, Chen Cao, Song Jin, Hong Wu, Shuxue Ding

Comput. Math. Methods Medicine, 2021

2020

Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network.

Chao Chai, Pengchong Qiao, Bin Zhao, Huiying Wang, Guohua Liu, Hong Wu, E. Mark Haacke, Wen Shen, Chen Cao, Xinchen Ye, Zhiyang Liu, Shuang Xia

CoRR, 2020