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 025; Jia Chen; Zi-Ping Li; Mingyu Wang; Chenglang Yuan; Xian-Fen Diao; Yanji Luo; Shi-Ting Feng (IEEE J. Biomed. Health Informatics, 2021)

Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis. - Bingsheng Huang; Junru Tian; Hongyuan Zhang 002; Zixin Luo; Jing Qin 001; Chen Huang; Xueping He; Yanji Luo; Yongjin Zhou 002; Guo Dan; Hanwei Chen; Shi-Ting Feng; et al. (IEEE J. Biomed. Health Informatics, 2021)

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 (CBMS, 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 (CBMS, 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 001; Zongyou Cai; Yan He; Zhangnan Zhong; Lingxiang Liu; Xin Chen 025; Hanwei Chen; Bingsheng Huang (IEEE Trans. Medical Imaging, 2022)

Automatic Brain Midline Surface Delineation on 3D CT Images With Intracranial Hemorrhage. - Dasheng Wu; Haoming Li 012; Jianbo Chang; Chenchen Qin; Yihao Chen; Yixun Liu; Qinghua Zhang; Bingsheng Huang; Ming Feng; Renzhi Wang 002; Jianhua Yao 001 (IEEE Trans. Medical Imaging, 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; et al. (Int. J. Intell. Syst., 2022)

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 001; Bin Huang; Wei Deng; Qiting Wu; Kaixin Lei; Jiegeng Lyu; Hanwei Chen; Bingsheng Huang (CMMCA@MICCAI, 2023)

A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images. - Bin Huang; Ziyue Xu 001; Shing-Chow Chan; Zhong Liu 004; Huiying Wen; Chao Hou; Qicai Huang; Meiqin Jiang; Changfeng Dong; Jie Zeng; Ruhai Zou; Bingsheng Huang; et al. (MICCAI (6), 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 (MICCAI (5), 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 (MICCAI (7), 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; et al. (Comput. Methods Programs Biomed., 2023)

Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling. - Hongxin Lin; Chu Zhang; Mingyu Wang; Bin Huang; Jingjing Shao; Jinxiang Zhang; Zhenhua Gao; Xianfen Diao; Bingsheng Huang (MICCAI (12), 2024)

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network. - Xiaotong Xie; Yufeng Ye; Tingting Yang; Bin Huang; Bingsheng Huang; Yi Huang (MICCAI (5), 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 001; Bin Huang; Wei Deng; Qiting Wu; Kaixin Lei; Jiegeng Lyu; Yufeng Ye; Hanwei Chen; et al. (Comput. Medical Imaging Graph., 2024)

Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved? - 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 004; et al. (CoRR, 2024)

Guided MRI Reconstruction via Schrödinger Bridge. - Yue Wang 119; Tian Zhou; Zhuo-Xu Cui; Bingsheng Huang; Hairong Zheng; Dong Liang 001; Yanjie Zhu (CoRR, 2024)

An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images. - Mingyu Wang; Chao Chen; Ziyue Xu 001; Lang Xu; Weiwei Zhan; Jing Xiao 006; Yiqing Hou; Bingsheng Huang; Lingyun Huang; Shuo Li 001 (Medical Image Anal., 2024)

Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge. - Xiaoyi Lin; Mingyu Wang; Fei Li; Ziyue Xu 001; Jia Chen; Xin Chen 025; Chenglang Yuan; Songxiong Wu; Yanji Luo; Jingxian Shen; Shi-Ting Feng; Bingsheng Huang (IEEE J. Biomed. Health Informatics, 2024)

Deep learning-based computer-aided diagnostic system for lumbar degenerative diseases classification using MRI. - Yueyao Chen; Qiangtai Huang; Chu Zhang; Junfeng Li; Wensheng Huang; Peiyin Luo; Qiuyi Chen; Ruirui Qi; Yuxuan Wan; Bingsheng Huang; Zhenhua Gao; Xiaofeng Lin; et al. (Biomed. Signal Process. Control., 2025)

Domain adaptive detection framework for multi-center bone tumor detection on radiographs. - Bing Li; Danyang Xu; Hongxin Lin; Ruodai Wu; Songxiong Wu; Jingjing Shao; Jinxiang Zhang; Haiyang Dai; Dan Wei; Bingsheng Huang; Zhenhua Gao; Xianfen Diao (Comput. Medical Imaging Graph., 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; et al. (Comput. Methods Programs Biomed., 2025)