Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mengqiang Zhou"'
Autor:
Jieyun Bai, Zhanhang Sun, Sheng Yu, Yaosheng Lu, Shun Long, Huijin Wang, Ruiyu Qiu, Zhanhong Ou, Minghong Zhou, Dengjiang Zhi, Mengqiang Zhou, Xiaosong Jiang, Gaowen Chen
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Background: Accurate assessment of fetal descent by monitoring the fetal head (FH) station remains a clinical challenge in guiding obstetric management. Angle of progression (AoP) has been suggested to be a reliable and reproducible parameter for the
Externí odkaz:
https://doaj.org/article/b29a0b00fa674b42abd95d282c12bc02
Autor:
Yaosheng Lu, Mengqiang Zhou, Dengjiang Zhi, Minghong Zhou, Xiaosong Jiang, Ruiyu Qiu, Zhanhong Ou, Huijin Wang, Di Qiu, Mei Zhong, Xiaoxing Lu, Gaowen Chen, Jieyun Bai
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108128- (2022)
Externí odkaz:
https://doaj.org/article/dc145ab9354342f587b8dabcdbeab4a8
Autor:
Yaosheng Lu, Mengqiang Zhou, Dengjiang Zhi, Minghong Zhou, Xiaosong Jiang, Ruiyu Qiu, Zhanhong Ou, Huijin Wang, Di Qiu, Mei Zhong, Xiaoxing Lu, Gaowen Chen, Jieyun Bai
Publikováno v:
Data in Brief, Vol 41, Iss , Pp 107904- (2022)
The use of transperineal ultrasound techniques for the assessment of fetal head descent and progression is an adjunct to clinical examination. Automatic identification of parameters based on ultrasound images will greatly reduce the subjectivity and
Externí odkaz:
https://doaj.org/article/6917d3bdf69247e2bd26c4d3e8ee01b5
Autor:
Mengqiang Zhou, Chuan Wang, Yaosheng Lu, Ruiyu Qiu, Rongdan Zeng, Dengjiang Zhi, Xiaosong Jiang, Zhanhong Ou, Huijin Wang, Gaowen Chen, Jieyun Bai
Publikováno v:
Medical & Biological Engineering & Computing. 61:1017-1031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75aecbe76ba419fd84f920b796900e82
https://doi.org/10.1007/s11517-022-02747-1
https://doi.org/10.1007/s11517-022-02747-1
Autor:
Yaosheng Lu, Xiaosong Jiang, Mengqiang Zhou, Dengjiang Zhi, Ruiyu Qiu, Zhanhong Ou, Jieyun Bai
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b64a3df94ff7747cd5324b131a3a45f7
https://doi.org/10.1007/s11548-023-02849-7
https://doi.org/10.1007/s11548-023-02849-7
Autor:
Yaosheng Lu, Dengjiang Zhi, Minghong Zhou, Fan Lai, Gaowen Chen, Zhanhong Ou, Rongdan Zeng, Shun Long, Ruiyu Qiu, Mengqiang Zhou, Xiaosong Jiang, Huijin Wang, Jieyun Bai
Publikováno v:
Computational and Mathematical Methods in Medicine.
The angle of progression (AoP) for assessing fetal head (FH) descent during labor is measured from the standard plane of transperineal ultrasound images as the angle between a line through the long axis of pubic symphysis (PS) and a second line from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::728256895eeebf0a4a6cbe3812ce9e8d
Autor:
Yaosheng Lu, Mengqiang Zhou, Dengjiang Zhi, Minghong Zhou, Xiaosong Jiang, Ruiyu Qiu, Zhanhong Ou, Huijin Wang, Di Qiu, Mei Zhong, Xiaoxing Lu, Gaowen Chen, Jieyun Bai
Publikováno v:
Data in Brief, Vol 41, Iss, Pp 107904-(2022)
The use of transperineal ultrasound techniques for the assessment of fetal head descent and progression is an adjunct to clinical examination. Automatic identification of parameters based on ultrasound images will greatly reduce the subjectivity and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb114ad282a44e0a1d42aaf06b1793a1
https://pubmed.ncbi.nlm.nih.gov/35434222
https://pubmed.ncbi.nlm.nih.gov/35434222
Multi-satellite Observation Scheduling Algorithm Based on Hybrid Genetic Particle Swarm Optimization
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783642260001
Multi-satellite observation scheduling is a complex combinatorial optimization problem while the optimization process is very complicated. Given this, in this paper we propose an effective hybrid optimization method based on the combination of partic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f79265f1fa2a7160a8333b6c4b9f2c4a
https://doi.org/10.1007/978-3-642-26001-8_58
https://doi.org/10.1007/978-3-642-26001-8_58
