Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Fenqiang Zhao"'
Autor:
Wenhao Zhang, Xin Zhang, Lingyi Li, Lufan Liao, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Chaoxiang Yang, He Zhang, Gang Li
Publikováno v:
NeuroImage, Vol 290, Iss , Pp 120560- (2024)
Brain extraction and image quality assessment are two fundamental steps in fetal brain magnetic resonance imaging (MRI) 3D reconstruction and quantification. However, the randomness of fetal position and orientation, the variability of fetal brain mo
Externí odkaz:
https://doaj.org/article/48316ed444234e0b83abcde8a9749091
Publikováno v:
NeuroImage, Vol 269, Iss , Pp 119931- (2023)
Precise segmentation of subcortical structures from infant brain magnetic resonance (MR) images plays an essential role in studying early subcortical structural and functional developmental patterns and diagnosis of related brain disorders. However,
Externí odkaz:
https://doaj.org/article/75fa8c0fe8ad496a88440cc7119a2bf9
Autor:
Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li
Publikováno v:
NeuroImage, Vol 253, Iss , Pp 119097- (2022)
Spatiotemporal (four-dimensional) infant-dedicated brain atlases are essential for neuroimaging analysis of early dynamic brain development. However, due to the substantial technical challenges in the acquisition and processing of infant brain MR ima
Externí odkaz:
https://doaj.org/article/8683f22ffdfc4ff0ac866a9787f787d2
Autor:
Tao Zhong, Jingkuan Wei, Kunhua Wu, Liangjun Chen, Fenqiang Zhao, Yuchen Pei, Ya Wang, Hongjiang Zhang, Zhengwang Wu, Ying Huang, Tengfei Li, Li Wang, Yongchang Chen, Weizhi Ji, Yu Zhang, Gang Li, Yuyu Niu
Publikováno v:
NeuroImage, Vol 247, Iss , Pp 118799- (2022)
Longitudinal brain imaging atlases with densely sampled time-points and ancillary anatomical information are of fundamental importance in studying early developmental characteristics of human and non-human primate brains during infancy, which feature
Externí odkaz:
https://doaj.org/article/8e66d5d706b2479e8aa90a112d443236
Autor:
Luhong Jin, Bei Liu, Fenqiang Zhao, Stephen Hahn, Bowei Dong, Ruiyan Song, Timothy C. Elston, Yingke Xu, Klaus M. Hahn
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
Super-resolution microscopy typically requires high laser powers which can induce photobleaching and degrade image quality. Here the authors augment structured illumination microscopy (SIM) with deep learning to reduce the number of raw images requir
Externí odkaz:
https://doaj.org/article/cb59b1d9328d413d81e5520a618431fc
Autor:
Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li
Publikováno v:
NeuroImage, Vol 227, Iss , Pp 117649- (2021)
As non-human primates, macaques have a close phylogenetic relationship to human beings and have been proven to be a valuable and widely used animal model in human neuroscience research. Accurate skull stripping (aka. brain extraction) of brain magnet
Externí odkaz:
https://doaj.org/article/fbfa14ec7e4045409c6d811f5590516d
Publikováno v:
Intelligent Medicine. 3:46-58
Autor:
Li Wang, Gang Li, Zhengwang Wu, Fenqiang Zhao, Fan Wang, Weili Lin, Dinggang Shen, Shunren Xia
Publikováno v:
IEEE Trans Med Imaging
Cortical surface registration is an essential step and prerequisite for surface-based neuroimaging analysis. It aligns cortical surfaces across individuals and time points to establish cross-sectional and longitudinal cortical correspondences to faci
Autor:
Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Ying Huang, Weili Lin, Li Wang, Gang Li
Publikováno v:
Proc IEEE Int Symp Biomed Imaging
Brain cortical surfaces, which have an intrinsic spherical topology, are typically represented by triangular meshes and mapped onto a spherical manifold in neuroimaging analysis. Inspired by the strong capability of feature learning in Convolutional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec18de6476904cd55d2f7a5b14cba805
https://europepmc.org/articles/PMC9097946/
https://europepmc.org/articles/PMC9097946/
Autor:
Yuchen, Pei, Liangjun, Chen, Fenqiang, Zhao, Zhengwang, Wu, Tao, Zhong, Ya, Wang, Changan, Chen, Li, Wang, He, Zhang, Lisheng, Wang, Gang, Li
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 12907
Brain atlases are of fundamental importance for analyzing the dynamic neurodevelopment in fetal brain studies. Since the brain size, shape, and anatomical structures change rapidly during the prenatal period, it is essential to construct a spatiotemp