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2020 – today
- 2025
[j13]Yueyao Chen, Qiangtai Huang, Chu Zhang, Junfeng Li
, Wensheng Huang, Peiyin Luo, Qiuyi Chen, Ruirui Qi, Yuxuan Wan, Bingsheng Huang, Zhenhua Gao, Xiaofeng Lin, Songxiong Wu, Xianfen Diao:
Deep learning-based computer-aided diagnostic system for lumbar degenerative diseases classification using MRI. Biomed. Signal Process. Control. 109: 108002 (2025)- [j12]Bing Li, Danyang Xu, Hongxin Lin, Ruodai Wu, Songxiong Wu, Jingjing Shao, Jinxiang Zhang, Haiyang Dai, Dan Wei, Bingsheng Huang, Zhenhua Gao, Xianfen Diao:
Domain adaptive detection framework for multi-center bone tumor detection on radiographs. Comput. Medical Imaging Graph. 123: 102522 (2025) - [j11]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:
Fully automated segmentation of brain and scalp blood vessels on multi-parametric magnetic resonance imaging using multi-view cascaded networks. Comput. Methods Programs Biomed. 260: 108584 (2025) - [j10]Chenglang Yuan, Jianpeng Li, Bin Huang, Mingyu Wang, Kangyang Cao, Yanji Luo, Yujian Zou, Shi-Ting Feng, Bingsheng Huang:
An Efficient Domain Knowledge-Guided Semantic Prediction Framework for Pathological Subtypes on the Basis of Radiological Images With Limited Annotations. IEEE Trans. Neural Networks Learn. Syst. 36(9): 16309-16323 (2025) - [c9]Bin Huang, Zhong Liu, Huiying Wen, Bingsheng Huang, Xin Chen, Shuo Li:
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation. MICCAI (14) 2025: 128-137 - [i3]Bin Huang, Zhong Liu, Huiying Wen, Bingsheng Huang, Xin Chen, Shuo Li:
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation. CoRR abs/2508.17408 (2025) - 2024
- [j9]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:
Self-supervised learning on dual-sequence magnetic resonance imaging for automatic segmentation of nasopharyngeal carcinoma. Comput. Medical Imaging Graph. 118: 102471 (2024) - [j8]Mingyu Wang, Chao Chen, Ziyue Xu, Lang Xu, Weiwei Zhan, Jing Xiao, Yiqing Hou, Bingsheng Huang, Lingyun Huang, Shuo Li:
An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images. Medical Image Anal. 97: 103255 (2024) - [j7]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:
Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge. IEEE J. Biomed. Health Informatics 28(1): 122-133 (2024) - [c8]Hongxin Lin, Chu Zhang, Mingyu Wang, Bin Huang, Jingjing Shao, Jinxiang Zhang, Zhenhua Gao, Xianfen Diao, Bingsheng Huang:
Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling. MICCAI (12) 2024: 14-22 - [c7]Xiaotong Xie, Yufeng Ye, Tingting Yang, Bin Huang, Bingsheng Huang, Yi Huang:
VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network. MICCAI (5) 2024: 744-753 - [i2]Hongyuan Zhang, Ching-Wei Wang, Hikam Muzakky, Juan Dai, Xuguang Li, Chenglong Ma, Qian Wu, Xianan Cui, Kunlun Xu, Pengfei He, Dongqian Guo, Xianlong Wang, Hyunseok Lee, Zhangnan Zhong, Zhu Zhu, Bingsheng Huang:
Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved? CoRR abs/2409.15834 (2024) - [i1]Yue Wang, Tian Zhou, Zhuo-Xu Cui, Bingsheng Huang, Hairong Zheng, Dong Liang, Yanjie Zhu:
Guided MRI Reconstruction via Schrödinger Bridge. CoRR abs/2411.14269 (2024) - 2023
- [j6]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:
Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning. Comput. Methods Programs Biomed. 233: 107466 (2023) - [c6]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:
A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images. MICCAI (6) 2023: 44-53 - [c5]Fei Li, Mingyu Wang, Bin Huang, Xiaoyu Duan, Zhuya Zhang, Ziyin Ye, Bingsheng Huang:
Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis. MICCAI (5) 2023: 63-71 - [c4]Zongyou Cai, Yufeng Ye, Zhangnan Zhong, Haiwei Lin, Ziyue Xu, Bin Huang, Wei Deng, Qiting Wu, Kaixin Lei, Jiegeng Lyu, Hanwei Chen, Bingsheng Huang:
Automated Segmentation of Nasopharyngeal Carcinoma Based on Dual-Sequence Magnetic Resonance Imaging Using Self-supervised Learning. CMMCA@MICCAI 2023: 150-159 - [c3]Mingyu Wang, Yi Li, Bin Huang, Chenglang Yuan, Yangdi Wang, Yanji Luo, Bingsheng Huang:
Self-feedback Transformer: A Multi-label Diagnostic Model for Real-World Pancreatic Neuroendocrine Neoplasms Data. MICCAI (7) 2023: 521-530 - 2022
- [j5]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:
Identifying patients with Crohn's disease at high risk of primary nonresponse to infliximab using a radiomic-clinical model. Int. J. Intell. Syst. 37(12): 11853-11870 (2022) - [j4]Bin Huang, Yufeng Ye, Ziyue Xu, Zongyou Cai, Yan He, Zhangnan Zhong, Lingxiang Liu, Xin Chen, Hanwei Chen, Bingsheng Huang:
3D Lightweight Network for Simultaneous Registration and Segmentation of Organs-at-Risk in CT Images of Head and Neck Cancer. IEEE Trans. Medical Imaging 41(4): 951-964 (2022) - [j3]Dasheng Wu, Haoming Li, Jianbo Chang, Chenchen Qin, Yihao Chen, Yixun Liu, Qinghua Zhang, Bingsheng Huang, Ming Feng, Renzhi Wang, Jianhua Yao:
Automatic Brain Midline Surface Delineation on 3D CT Images With Intracranial Hemorrhage. IEEE Trans. Medical Imaging 41(9): 2217-2227 (2022) - [c2]Shaonan Zhong, Yuxuan Wu, Zhantao Liu, Zhaohong Pan, Bingsheng Huang, Qinqin Yang:
Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and 68Ga-PSMA-11 PET/CT. CBMS 2022: 329-332 - [c1]Yi Li, Yuanyuan Zhao, Mingyu Wang, Fei Li, Jia Chen, Yanji Luo, Shi-Ting Feng, Xiaoyi Lin, Bingsheng Huang:
Integrating with Segmentation by Using Multi-Task Learning Improves Classification Performance in Medical Image Analysis. CBMS 2022: 351-354 - 2021
- [j2]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:
Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis. IEEE J. Biomed. Health Informatics 25(7): 2655-2664 (2021) - [j1]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:
Accurate and Feasible Deep Learning Based Semi-Automatic Segmentation in CT for Radiomics Analysis in Pancreatic Neuroendocrine Neoplasms. IEEE J. Biomed. Health Informatics 25(9): 3498-3506 (2021)
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