1 code implementation • 28 Apr 2020 • Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni
In this paper, we propose the first fully-automated solution to segment the whole fetal head in US volumes.
no code implementations • 11 Oct 2019 • Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng
(i) This is the first work about 3D pose estimation of fetus in the literature.
no code implementations • 31 Aug 2019 • Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng, Dong Ni
In this paper, we propose an effective framework for simultaneous segmentation and landmark localization in prenatal ultrasound volumes.
no code implementations • 21 Apr 2016 • Xichuan Zhou, Shengli Li, Kai Qin, Kunping Li, Fang Tang, Shengdong Hu, Shujun Liu, Zhi Lin
Deep neural networks are state-of-the-art models for understanding the content of images, video and raw input data.