A Computer-Aided System for Classification of Breast Tumors in Ultrasound Images via Biclustering Learning. - Qiangzhi Zhang; Huali Chang; Longzhong Liu; Anhua Li; Qinghua Huang (ICMLC (CCIS volume), 2014)

Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis. - Qinghua Huang; Feibin Yang; Longzhong Liu; Xuelong Li 001 (Inf. Sci., 2015)

Web-based training for radiologists of breast ultrasound. - Xianhai Huang; Lijuan Ling; Qinghua Huang; Yidi Lin; Xingzhang Long; Longzhong Liu (CISP-BMEI, 2017)

Automatic Classification of Focal Liver Lesion in Ultrasound Images Based on Sparse Representation. - Weining Wang 003; Yizi Jiang; Tingting Shi; Longzhong Liu; Qinghua Huang; Xiangmin Xu (ICIG (2), 2017)

A case-oriented web-based training system for breast cancer diagnosis. - Qinghua Huang; Xianhai Huang; Longzhong Liu; Yidi Lin; Xingzhang Long; Xuelong Li 001 (Comput. Methods Programs Biomed., 2018)

Classification of breast ultrasound with human-rating BI-RADS scores using mined diagnostic patterns and optimized neuro-network. - Qinghua Huang; Zhaoji Miao; Jiawei Li; Longzhong Liu; Xuelong Li 001 (Neurocomputing, 2020)

On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification. - Qinghua Huang; Yongdong Chen; Longzhong Liu; Dacheng Tao; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2020)

Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples. - Jianing Xi; Zhaoji Miao; Longzhong Liu; Xuebing Yang; Wensheng Zhang 002; Qinghua Huang; Xuelong Li 001 (Neurocomputing, 2022)

Fully Automated Interpretable Breast Ultrasound Assisted Diagnosis System. - Dan Wang; Yongzhen Wang; Yingchen Wang; Longzhong Liu; Jiawei Li; Qinghua Huang (ICARM, 2023)

Fusion of Human Cognitive Knowledge and Machine Inference for Breast Cancer Detection. - Dan Wang; Yingchen Wang; Yongzhen Wang; Longzhong Liu; Jiawei Li; Qinghua Huang (ICARM, 2023)

Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis. - Yaozhong Luo; Zhenkun Lu; Longzhong Liu; Qinghua Huang (Biomed. Signal Process. Control., 2023)

A novel image-to-knowledge inference approach for automatically diagnosing tumors. - Qinghua Huang; Dan Wang; Zhenkun Lu; Shichong Zhou; Jiawei Li; Longzhong Liu; Cai Chang (Expert Syst. Appl., 2023)

Classification of tumor in one single ultrasound image via a novel multi-view learning strategy. - Yaozhong Luo; Qinghua Huang; Longzhong Liu (Pattern Recognit., 2023)

Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference. - Guanghui Li 005; Qinghua Huang; Chunying Liu; Guanying Wang; Lingli Guo; Ruonan Liu; Longzhong Liu (Neurocomputing, 2024)

Human visual perception-inspired medical image segmentation network with multi-feature compression. - Guangju Li; Qinghua Huang; Wei Wang 181; Longzhong Liu (Artif. Intell. Medicine, 2025)

Skin lesion segmentation by fusing local and global features using axial shift and spatial state model. - Guangju Li; Qinghua Huang; Wei Wang 181; Longzhong Liu (Appl. Soft Comput., 2025)

Selective and multi-scale fusion Mamba for medical image segmentation. - Guangju Li; Qinghua Huang; Wei Wang 181; Longzhong Liu (Expert Syst. Appl., 2025)