Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Yunyun Ren"'
Autor:
Hongshuang Sun, Jing Jiao, Yicong Wang, Chen Zhu, Shaochun Wang, Yuanyuan Wang, Bo Ban, Yi Guo, Yunyun Ren
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The goal of our research is to elucidate and better assess placental function in rats with preeclampsia through an innovative application of ultrasound-based radiomics. Using a rat model induced with L-NAME, we carefully investigated placent
Externí odkaz:
https://doaj.org/article/c782fd1de2c04aae8d3ecf83ea219824
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract To develop a novel method for predicting neonatal respiratory morbidity (NRM) by ultrasound-based radiomics technology. In this retrospective study, 430 high-throughput features per fetal-lung image were extracted from 295 fetal lung ultraso
Externí odkaz:
https://doaj.org/article/48bdf866a4d441d4a3ad8c3f6417f5ff
Publikováno v:
Actuators, Vol 12, Iss 9, p 360 (2023)
Aiming at the requirements of distributed braking and advanced automatic driving, a brake-by-wire unit based on a direct drive pump–valve cooperative is proposed. To realize the wheel cylinder pressure regulation, the hydraulic pump is directly dri
Externí odkaz:
https://doaj.org/article/c7578be37b694c61af6ff780d472dfe7
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-15 (2022)
Abstract Background To develop a non-invasive method for the prenatal prediction of neonatal respiratory morbidity (NRM) by a novel radiomics method based on imbalanced few-shot fetal lung ultrasound images. Methods A total of 210 fetal lung ultrasou
Externí odkaz:
https://doaj.org/article/51a4b79bc514437aa578f4eeb80246c8
Autor:
Jinglan Zhang, Yanting Wu, Songchang Chen, Qiong Luo, Hui Xi, Jianli Li, Ying Jiang, Jie Shen, Yunyun Ren, Minyue Dong, Hua Wang, Dan Zhang, Chenming Xu, He-Feng Huang
Publikováno v:
Genetics in Medicine Open, Vol 1, Iss 1, Pp 100652- (2023)
Externí odkaz:
https://doaj.org/article/f29aed3090964013b823e3b83a55b7ef
Publikováno v:
Acta Obstetricia et Gynecologica Scandinavica
Introduction This study aimed to investigate whether maternal blood lipid levels during early pregnancy are associated with the occurrence of congenital heart disease (CHD) in their offspring. Material and methods In this single‐center case–contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b6aab87a8e3383c52faf0f00236d19c
https://doi.org/10.1111/aogs.14225
https://doi.org/10.1111/aogs.14225
Autor:
Yanran Du, Jing Jiao, Aili Cao, Chao Ji, Man Li, Chenli Ji, Yang Wu, Yi Guo, Yuanyuan Wang, Jianqiao Zhou, Yunyun Ren
Publikováno v:
Prenatal diagnosisREFERENCES. 42(11)
To establish a classification model for the evaluation of rat fetal lung maturity (FLM) using radiomics technology.A total of 430 high-throughput features were extracted per fetal lung image from 134 fetal lung ultrasound images (four-cardiac-chamber
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7bd97093acd1b80e21fdd7ee0af6665
https://pubmed.ncbi.nlm.nih.gov/36056747
https://pubmed.ncbi.nlm.nih.gov/36056747
Autor:
Yunyun Ren, B. D. Jing Jiao, Yi Guo, Chen Zhu, Yuanyuan Wang, Zhou Fang, Yanran Du, Guannan Xi
Publikováno v:
Ultrasound in Obstetrics & Gynecology. 57:804-812
OBJECTIVES To analyze and compare, using ultrasound-based radiomics technology, fetal-lung texture in pregnancies affected by gestational diabetes mellitus (GDM) and/or pre-eclampsia (PE) and in normal pregnancies, overall and at different gestationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa0216d21c0fb8c0524a2da577f403a
https://doi.org/10.1002/uog.22037
https://doi.org/10.1002/uog.22037
Autor:
Hongshuang Sun, Yunyun Ren
Publikováno v:
Clinical hemorheology and microcirculation.
AIM: The aim of this study was to investigate the role of cerebroplacental ratio (CPR) in the final prenatal care for neonatal respiratory diseases and to analyze the risk of relevant factors associated with neonatal respiratory disorders. METHODS: A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::261425755e68c5afb7953bd2608985b0
https://pubmed.ncbi.nlm.nih.gov/35527541
https://pubmed.ncbi.nlm.nih.gov/35527541
Publikováno v:
Journal of clinical ultrasound : JCUREFERENCES. 50(7)
The goal of this study was to introduce PFCnet (placental features classification network), an multimodel model for evaluating and classifying placental features in gestational diabetes mellitus (GDM) and normal late pregnancy. Deep learning algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7cd170a313b1324e654ac332f087e0c
https://pubmed.ncbi.nlm.nih.gov/35811397
https://pubmed.ncbi.nlm.nih.gov/35811397