CEUS-based classification of liver tumors with deep canonical correlation analysis and multi-kernel learning. - Lehang Guo; Dan Wang; Huixiong Xu; Yiyi Qian; Chaofeng Wang; Xiao Zheng; Qi Zhang 003; Jun Shi 004 (EMBC, 2017)

Multimodal Ultrasound imaging based diagnosis of liver cancers with a two-stage multi-view learning framework. - Yiyi Qian; Jun Shi 004; Xiao Zheng; Qi Zhang 003; Lehang Guo; Dan Wang; Huixiong Xu (EMBC, 2017)

B-Mode Ultrasound Based Diagnosis of Liver Cancer With CEUS Images as Privileged Information. - Fanqing Meng; Jun Shi 004; Bangming Gong; Qi Zhang 003; Lehang Guo; Dan Wang; Huixiong Xu (EMBC, 2018)

Diagnosis of Thyroid Nodules in Ultrasound Images Using Two Combined Classification Modules. - Heng Zhang 014; Chongke Zhao; Lehang Guo; Xiaolong Li; Ye Luo; Janwei Lu; Huixiong Xu (CISP-BMEI, 2019)

Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer. - Lin Yuan 001; Lehang Guo; Chang-an Yuan 001; Youhua Zhang; Kyungsook Han; Asoke K. Nandi; Barry Honig; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Comparison Study of Radiomics and Deep Learning-Based Methods for Thyroid Nodules Classification Using Ultrasound Images. - Yongfeng Wang; Wenwen Yue; Xiaolong Li; Shuyu Liu; Lehang Guo; Huixiong Xu; Heye Zhang; Guang Yang 006 (IEEE Access, 2020)

Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers. - Huili Zhang; Lehang Guo; Dan Wang; Jun Wang 024; Lili Bao; Shihui Ying; Huixiong Xu; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2021)

Accuracy of point-of-care tele-ultrasonography for assisting ultrasound-naive resident doctors in detecting lower-limb deep venous thrombosis: A prospective controlled trial. - Xiao-Wan Bo; Li-Ping Sun; Jing Wan; Yi-Kang Sun; Ya-Qin Zhang; Tian He; Zhe-Bin Qian; Chuan Qin; Lehang Guo; Huixiong Xu (Biomed. Signal Process. Control., 2022)

Dual-Branch Multimodal Fusion Network for Skin Lesions Diagnosis using Clinical and Ultrasound Image. - Chunlun Xiao; Anqi Zhu; Chunmei Xia; Yuanlin Liu; Zifeng Qiu; Qiao Wang; Weiwei Ren; Dandan Shan; Tianfu Wang 001; Lehang Guo; Baiying Lei (ISBI, 2023)

Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images. - Huili Zhang; Lehang Guo; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2023)

B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning. - Xiangmin Han; Bangming Gong; Lehang Guo; Jun Wang 024; Shihui Ying; Shuo Li 001; Jun Shi 004 (Neural Networks, 2023)

Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images. - Huili Zhang; Lehang Guo; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (Inf. Process. Manag., 2024)

A Systematic Investigation of Thermal Effects of High-Intensity Focused Ultrasound Therapy for Ultrasound Neuromodulation. - Ben Fu; Dandan Shan; Cong Pu; Lehang Guo; Huixiong Xu; Chang Peng (IEEE Trans. Instrum. Meas., 2024)

Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image. - Huili Zhang; Lehang Guo; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2024)

Label-guided graph learning network via two-stage cross-modal fusion for multi-label skin disease diagnosis. - Cheng Zhao 003; Chunlun Xiao; Feifei Jin; Anqi Zhu; Zhuo Xiang; Yiyao Liu; Lehang Guo; Tianfu Wang 001; Baiying Lei (Eng. Appl. Artif. Intell., 2025)

Attention-Guided Learning With Feature Reconstruction for Skin Lesion Diagnosis Using Clinical and Ultrasound Images. - Chunlun Xiao; Anqi Zhu; Chunmei Xia; Zifeng Qiu; Yuanlin Liu; Cheng Zhao 003; Weiwei Ren; Lifan Wang; Lei Dong; Tianfu Wang 001; Lehang Guo; Baiying Lei (IEEE Trans. Medical Imaging, 2025)

CSASN: A Multitask Attention-Based Framework for Heterogeneous Thyroid Carcinoma Classification in Ultrasound Images. - Peiqi Li; Yincheng Gao; Renxing Li; Haojie Yang; Yunyun Liu; Boji Liu; Jiahui Ni; Ying Zhang; Yulu Wu; Xiaowei Fang; Lehang Guo; Liping Sun; et al. (CoRR, 2025)