Bin Huang

According to our database, Bin Huang authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Source-Resilient Joint Learning Framework for Preserving Stable Generalization on Diverse Ultrasonic Source Scenarios.

Bin Huang, Zhong Liu, Ziyue Xu, Shing-Chow Chan, Huiying Wen, Chao Hou, Qicai Huang, Meiqin Jiang, Changfeng Dong, Jie Zeng, Ruhai Zou, Bingsheng Huang, Xin Chen, Shuo Li

IEEE J. Biomed. Health Informatics, May, 2026

2025

An Efficient Domain Knowledge-Guided Semantic Prediction Framework for Pathological Subtypes on the Basis of Radiological Images With Limited Annotations.

Chenglang Yuan, Jianpeng Li, Bin Huang, Mingyu Wang, Kangyang Cao, Yanji Luo, Yujian Zou, Shi-Ting Feng, Bingsheng Huang

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Fully automated segmentation of brain and scalp blood vessels on multi-parametric magnetic resonance imaging using multi-view cascaded networks.

Songxiong Wu, Zilong Huang, Mingyu Wang, Ping Zeng, Biwen Tan, Panying Wang, Bin Huang, Naiwen Zhang, Nashan Wu, Ruodai Wu, Yong Chen, Guangyao Wu, Fuyong Chen, Jian Zhang, Bingsheng Huang

Comput. Methods Programs Biomed., 2025

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation.

Bin Huang, Zhong Liu, Huiying Wen, Bingsheng Huang, Xin Chen, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Self-supervised learning on dual-sequence magnetic resonance imaging for automatic segmentation of nasopharyngeal carcinoma.

Zongyou Cai, Zhangnan Zhong, Haiwei Lin, Bingsheng Huang, Ziyue Xu, Bin Huang, Wei Deng, Qiting Wu, Kaixin Lei, Jiegeng Lyu, Yufeng Ye, Hanwei Chen, Jian Zhang

Comput. Medical Imaging Graph., 2024

2023

Automatic Diagnosis of Significant Liver Fibrosis From Ultrasound B-Mode Images Using a Handcrafted-Feature-Assisted Deep Convolutional Neural Network.

Zhong Liu, Bin Huang, Huiying Wen, Zhicheng Lu, Qicai Huang, Meiqin Jiang, Changfeng Dong, Yingxia Liu, Xin Chen, Haoming Lin

IEEE J. Biomed. Health Informatics, October, 2023

A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images.

Bin Huang, Ziyue Xu, Shing-Chow Chan, Zhong Liu, Huiying Wen, Chao Hou, Qicai Huang, Meiqin Jiang, Changfeng Dong, Jie Zeng, Ruhai Zou, Bingsheng Huang, Xin Chen, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Automated Segmentation of Nasopharyngeal Carcinoma Based on Dual-Sequence Magnetic Resonance Imaging Using Self-supervised Learning.

Zongyou Cai, Yufeng Ye, Zhangnan Zhong, Haiwei Lin, Ziyue Xu, Bin Huang, Wei Deng, Qiting Wu, Kaixin Lei, Jiegeng Lyu, Hanwei Chen, Bingsheng Huang

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

Full Spatial Muscle Fiber Orientation Estimation From Ultrasound Images Using a Multitask Deformable Residual Neural Network.

Bin Huang, Zhong Liu, Rui Mao, Siping Chen, Xin Chen

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

3D Lightweight Network for Simultaneous Registration and Segmentation of Organs-at-Risk in CT Images of Head and Neck Cancer.

Bin Huang, Yufeng Ye, Ziyue Xu, Zongyou Cai, Yan He, Zhangnan Zhong, Lingxiang Liu, Xin Chen, Hanwei Chen, Bingsheng Huang

IEEE Trans. Medical Imaging, 2022