Recognition of Hyperparathyroidism based on Transfer Learning. - Jiabo Chen; Qing Guo; Zixun Jiang; Huaqing Wang; Mingan Yu; Ying Wei 001 (BIBM, 2020)

Automatic Recognition of Parathyroid Nodules in Ultrasound Images Based on Fused Prior Pathological Knowledge Features. - Ying Wang 044; Lin Mao; Mingan Yu; Ying Wei; Can Hao; Dengfeng Dong (IEEE Access, 2021)

A Benchmark and Transformer-based Approach for Automated Hyperparathyroidism Detection. - Qing Guo; Yufeng Xiao; Huaqing Wang; Mingan Yu; Ying Wei 001; Zhenlong Zhao (SMC, 2022)

A Joint Attention Module and Deformable Transformer Network for Hyperparathyroidism Detection. - Qing Guo; Jie Yang; Yufeng Xiao; Huaqing Wang; Mingan Yu; Ying Wei 001; Zhenlong Zhao (BIBM, 2023)

FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation. - Hongyu Chen; Mingan Yu; Cheng Chen 024; Kangneng Zhou; Siyu Qi; Yunqing Chen; Ruoxiu Xiao (Comput. Biol. Medicine, 2023)

MSAR-Net: A multi-scale attention residual network for medical image segmentation. - Xiaoheng Li; Cheng Chen; Yunqing Chen; Mingan Yu; Ruoxiu Xiao (Biomed. Signal Process. Control., 2025)