Bingsheng Huang

According to our database, Bingsheng Huang authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge.

Xiaoyi Lin, Mingyu Wang, Fei Li, Ziyue Xu, Jia Chen, Xin Chen, Chenglang Yuan, Songxiong Wu, Yanji Luo, Jingxian Shen, Shi-Ting Feng, Bingsheng Huang

IEEE J. Biomed. Health Informatics, January, 2024

2023

Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning.

Jianpeng Li, Zhengxuan Qiu, Kangyang Cao, Lei Deng, Weijing Zhang, Chuanmiao Xie, Shuiqing Yang, Peiyan Yue, Jian Zhong, Jiegeng Lyu, Xiang Huang, Kunlin Zhang, Yujian Zou, Bingsheng Huang

Comput. Methods Programs Biomed., May, 2023

Self-feedback Transformer: A Multi-label Diagnostic Model for Real-World Pancreatic Neuroendocrine Neoplasms Data.

Mingyu Wang, Yi Li, Bin Huang, Chenglang Yuan, Yangdi Wang, Yanji Luo, Bingsheng Huang

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

Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis.

Fei Li, Mingyu Wang, Bin Huang, Xiaoyu Duan, Zhuya Zhang, Ziyin Ye, Bingsheng Huang

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

2022

Identifying patients with Crohn's disease at high risk of primary nonresponse to infliximab using a radiomic-clinical model.

Xuehua Li, Yingkui Zhong, Chenglang Yuan, Jinjiang Lin, Xiaodi Shen, Minyi Guo, Baolan Lu, Jixin Meng, Yangdi Wang, Naiwen Zhang, Zixin Luo, Guimeng Hu, Ren Mao, Minhu Chen, Canhui Sun, Ziping Li, Qing-hua Cao, Baili Chen, Zhihui Chen, Bingsheng Huang, Shi-Ting Feng

Int. J. Intell. Syst., December, 2022

Automatic Brain Midline Surface Delineation on 3D CT Images With Intracranial Hemorrhage.

Dasheng Wu, Haoming Li, Jianbo Chang, Chenchen Qin, Yihao Chen, Yixun Liu, Qinghua Zhang, Bingsheng Huang, Ming Feng, Renzhi Wang, Jianhua Yao

IEEE Trans. Medical Imaging, 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

Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and ⁶⁸Ga-PSMA-11 PET/CT.

Shaonan Zhong, Yuxuan Wu, Zhantao Liu, Zhaohong Pan, Bingsheng Huang, Qinqin Yang

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Integrating with Segmentation by Using Multi-Task Learning Improves Classification Performance in Medical Image Analysis.

Yi Li, Yuanyuan Zhao, Mingyu Wang, Fei Li, Jia Chen, Yanji Luo, Shi-Ting Feng, Xiaoyi Lin, Bingsheng Huang

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.

Bingsheng Huang, Junru Tian, Hongyuan Zhang, Zixin Luo, Jing Qin, Chen Huang, Xueping He, Yanji Luo, Yongjin Zhou, Guo Dan, Hanwei Chen, Shi-Ting Feng, Chenglang Yuan

IEEE J. Biomed. Health Informatics, 2021

Accurate and Feasible Deep Learning Based Semi-Automatic Segmentation in CT for Radiomics Analysis in Pancreatic Neuroendocrine Neoplasms.

Bingsheng Huang, Xiaoyi Lin, Jingxian Shen, Xin Chen, Jia Chen, Zi-Ping Li, Mingyu Wang, Chenglang Yuan, Xian-Fen Diao, Yanji Luo, Shi-Ting Feng

IEEE J. Biomed. Health Informatics, 2021