Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jikuan Qian"'
Autor:
Yuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6ffe791f6d87bd16486d85a46ac240d
https://doi.org/10.1007/978-3-031-16440-8_29
https://doi.org/10.1007/978-3-031-16440-8_29
Autor:
Jikuan Qian, Rui Li, Xin Yang, Yuhao Huang, Mingyuan Luo, Zehui Lin, Wenhui Hong, Ruobing Huang, Haining Fan, Dong Ni, Jun Cheng
Different from handcrafted features, deep neural networks can automatically learn task-specific features from data. Due to this data-driven nature, they have achieved remarkable success in various areas. However, manual design and selection of suitab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62c0bbf43da2b211b8c5cd510234b682
Autor:
Dong Ni, Tianfu Wang, Ruobing Huang, Jikuan Qian, Huizhi Guo, Yi Xiong, Yuhao Huang, Xin Yang, Huanjia Luo, Haoran Dou, Wufeng Xue, Yuanji Zhang
Accurate standard plane (SP) localization is the fundamental step for prenatal ultrasound (US) diagnosis. Typically, dozens of US SPs are collected to determine the clinical diagnosis. 2D US has to perform scanning for each SP, which is time-consumin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70ed8b873ad4eafff53fefd955f82e37
Autor:
Guang-Quan Zhou, Juzheng Miao, Dong Ni, Wenlong Shi, Xin Yang, Yuhao Huang, Jikuan Qian, En-Ze Huo, Rui Li, Chaoyu Chen
Automatic and accurate detection of anatomical landmarks is an essential operation in medical image analysis with a multitude of applications. Recent deep learning methods have improved results by directly encoding the appearance of the captured anat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa8634bb31262b10060afc0b31e2589a
Autor:
Ruobing Huang, Yi Xiong, Xiaoqiong Huang, Yuhao Huang, Haoran Dou, Jikuan Qian, Rui Li, Chaoyu Chen, Wenlong Shi, Yuanji Zhang, Dong Ni, Xin Yang, Haixia Wang
3D ultrasound (US) has become prevalent due to its rich spatial and diagnostic information not contained in 2D US. Moreover, 3D US can contain multiple standard planes (SPs) in one shot. Thus, automatically localizing SPs in 3D US has the potential t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e05f94fc6c3743897a030aef5d29792
http://arxiv.org/abs/2007.15273
http://arxiv.org/abs/2007.15273
Autor:
Yuanji Zhang, Haoran Dou, Yi Xiong, Chaoyu Chen, Yuhao Huang, Dong Ni, Jikuan Qian, Xiaoqiong Huang, Rui Li, Wenlong Shi, Xin Yang, Huanjia Luo, Alejandro F. Frangi
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597153
MICCAI (3)
MICCAI (3)
3D ultrasound (US) is widely used due to its rich diagnostic information, portability and low cost. Automated standard plane (SP) localization in US volume not only improves efficiency and reduces user-dependence, but also boosts 3D US interpretation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bedc1cfea7080eff530a05dd41c3297d
https://doi.org/10.1007/978-3-030-59716-0_53
https://doi.org/10.1007/978-3-030-59716-0_53
Autor:
Wufeng Xue, Xu Wang, Lequan Yu, Xin Yang, Dong Ni, Jikuan Qian, Haoran Dou, Yi Xiong, Shujun Wang, Hao Qin, Pheng-Ann Heng
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322533
MICCAI (5)
MICCAI (5)
Standard plane localization is crucial for ultrasound (US) diagnosis. In prenatal US, dozens of standard planes are manually acquired with a 2D probe. It is time-consuming and operator-dependent. In comparison, 3D US containing multiple standard plan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc8d3bd1821e926c6dd9d69dcfa8ec0
https://doi.org/10.1007/978-3-030-32254-0_33
https://doi.org/10.1007/978-3-030-32254-0_33
Autor:
Pheng-Ann Heng, Wenlong Shi, Jikuan Qian, Yi Wang, Haoran Dou, Xin Yang, Dong Ni, Wufeng Xue, Shengli Li
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322533
MICCAI (5)
MICCAI (5)
The 3D ultrasound (US) entrance inspires a multitude of automated prenatal examinations. However, studies about the structuralized description of the whole fetus in 3D US are still rare. In this paper, we propose to estimate the 3D pose of fetus in U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::156a23a8193377389d1d43bf7e6ef080
https://doi.org/10.1007/978-3-030-32254-0_32
https://doi.org/10.1007/978-3-030-32254-0_32