Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound. - Jian Wang 099; Juzheng Miao; Xin Yang 009; Rui Li 038; Guangquan Zhou; Yuhao Huang 001; Zehui Lin; Wufeng Xue; Xiaohong Jia 003; Jianqiao Zhou; Ruobing Huang; Dong Ni 001 (MICCAI (6), 2020)

Breast tumor diagnosis using radiofrequency signals based ultrasound multifeature maps combined with radiomics analysis. - Qingmin Wang; Xiaohong Jia 003; Tianlei Xiao; Zhao Yao; Jianqiao Zhou; Jinhua Yu (CISP-BMEI, 2021)

AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound. - Ruobing Huang; Zehui Lin; Haoran Dou; Jian Wang 099; Juzheng Miao; Guangquan Zhou; Xiaohong Jia 003; Wenwen Xu; Zihan Mei; Yijie Dong; Xin Yang 009; Jianqiao Zhou; et al. (Medical Image Anal., 2021)

Personalized Diagnostic Tool for Thyroid Cancer Classification Using Multi-view Ultrasound. - Han Huang; Yijie Dong; Xiaohong Jia 003; Jianqiao Zhou; Dong Ni 001; Jun Cheng 006; Ruobing Huang (MICCAI (3), 2022)

Boundary-rendering network for breast lesion segmentation in ultrasound images. - Ruobing Huang; Mingrong Lin; Haoran Dou; Zehui Lin; Qilong Ying; Xiaohong Jia 003; Wenwen Xu; Zihan Mei; Xin Yang 009; Yijie Dong; Jianqiao Zhou; Dong Ni 001 (Medical Image Anal., 2022)

An efficient framework for lesion segmentation in ultrasound images using global adversarial learning and region-invariant loss. - Van Manh; Xiaohong Jia 003; Wufeng Xue; Wenwen Xu; Zihan Mei; Yijie Dong; Jianqiao Zhou; Ruobing Huang; Dong Ni 001 (Comput. Biol. Medicine, 2024)

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training. - Jian Wang 099; Xin Yang 009; Xiaohong Jia 003; Wufeng Xue; Rusi Chen; Yanlin Chen; Xi-Liang Zhu; Lian Liu; Yan Cao 002; Jianqiao Zhou; Dong Ni 001; Ning Gu (Comput. Biol. Medicine, 2024)

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training. - Jian Wang 099; Xin Yang 009; Xiaohong Jia 003; Wufeng Xue; Rusi Chen; Yanlin Chen; Xiliang Zhu; Lian Liu; Yan Cao 002; Jianqiao Zhou; Dong Ni 001; Ning Gu (CoRR, 2024)