CoUNet: An End-to-End Colonoscopy Lesion Image Segmentation and Classification Framework. - Wendong Xu; Hong Liu 007; Xiangdong Wang; Hanqiang Ouyang; Yueliang Qian (ICVIP, 2020)

MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple Branches. - Menglei Jiao; Hong Liu 007; Jianfang Liu; Hanqiang Ouyang; Xiangdong Wang; Liang Jiang; Huishu Yuan; Yueliang Qian (MICCAI (3), 2022)

Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors. - Menglei Jiao; Hong Liu 007; Zekang Yang; Shuai Tian; Hanqiang Ouyang; Yuan Li; Yuan Yuan; Jianfang Liu; Chunjie Wang; Ning Lang; Liang Jiang; Huishu Yuan; et al. (CMMCA@MICCAI, 2022)

Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays. - Zhi Qiao; Hanqiang Ouyang; Dongheng Chu; Huishu Yuan; Xiantong Zhen; Pei Dong; Zhen Qian (BIBM, 2023)

Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography. - Chunjie Wang; Ming Ni; Shuai Tian; Hanqiang Ouyang; Xiaoming Liu; Lianxi Fan; Pei Dong; Liang Jiang; Ning Lang; Huishu Yuan (BMC Medical Imaging, 2023)

Deep learning model for the automated detection and classification of central canal and neural foraminal stenosis upon cervical spine magnetic resonance imaging. - Enlong Zhang; Meiyi Yao; Yuan Li; Qizheng Wang; Xinhang Song; Yongye Chen; Ke Liu; Weili Zhao; Xiaoying Xing; Yan Zhou; Fanyu Meng; Hanqiang Ouyang; et al. (BMC Medical Imaging, 2024)