Detection of peripherally inserted central catheter (PICC) in chest X-ray images: A multi-task deep learning model. - Dingding Yu; Kaijie Zhang; Lingyan Huang; Bonan Zhao 002; Xiaoshan Zhang; Xin Guo; Miaomiao Li; Zheng Gu; Guosheng Fu; Minchun Hu; Yan Ping; Ye Sheng; et al. (Comput. Methods Programs Biomed., 2020)

PaI-Net: A modified U-Net of reducing semantic gap for surgical instrument segmentation. - Xiaoyan Wang 007; Luyao Wang; Xingyu Zhong; Cong Bai; Xiaojie Huang; Ruiyi Zhao; Ming Xia (IET Image Process., 2021)

Automatic and accurate segmentation of peripherally inserted central catheter (PICC) from chest X-rays using multi-stage attention-guided learning. - Xiaoyan Wang 007; Luyao Wang; Ye Sheng; Chenglu Zhu; Nan Jiang; Cong Bai; Ming Xia; Zhanpeng Shao; Zheng Gu; Xiaojie Huang; Ruiyi Zhao; Zhenjie Liu (Neurocomputing, 2022)