Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Weili Lin"'
Publikováno v:
J Neurosci
The functional connectome fingerprint is a cluster of individualized brain functional connectivity patterns that are capable of distinguishing one individual from others. Although its existence has been demonstrated in adolescents and adults, whether
Autor:
Li Zhao, Toan Duc Bui, Qi Dou, Yu Zhang, Sijie Niu, Trung Le Phan, Guannan Li, Longchuan Li, Sarah Shultz, Xiaopeng Zong, Wenao Ma, Gang Li, Yue Sun, Ying Wei, Xue Feng, Mallappa Kumara Swamy, Camilo Bermudez Noguera, Tao Zhong, Valerie Jewells, Li Wang, Weili Lin, Ramesh Basnet, Caizi Li, M. Omair Ahmad, Dinggang Shen, Zhihao Lei, Ian H. Gotlib, Kathryn L. Humphreys, Jun Ma, Bennett A. Landman, Jitae Shin, Kun Gao, Zhengwang Wu, Lequan Yu, Xiaoping Yang
Publikováno v:
IEEE Trans Med Imaging
To better understand early brain development in health and disorder, it is critical to accurately segment infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). Deep learning-based methods
Autor:
Shunren Xia, Li Wang, Dingna Duan, John H. Gilmore, Zhengwang Wu, Dinggang Shen, Islem Rekik, Gang Li, Weili Lin
Publikováno v:
Human Brain Mapping. 41:1985-2003
Studying the early dynamic development of cortical folding with remarkable individual variability is critical for understanding normal early brain development and related neurodevelopmental disorders. This study focuses on the fingerprinting capabili
Publikováno v:
Magnetic resonance imaging clinics of North America. 29(4)
Magnetic resonance fingerprinting (MRF) is increasingly being used to evaluate brain development and differentiate normal and pathologic tissues in children. MRF can provide reliable and accurate intrinsic tissue properties, such as T1 and T2 relaxat
Autor:
Tengfei Li, Li Wang, Han Zhang, Gang Li, Weili Lin, Zhengwang Wu, Dinggang Shen, Fan Wang, Chunfeng Lian, Yu Meng
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance During the first 2 postnatal years, the human brain undergoes dynamic growth and shows rapid expansions in behavioral and cognitive abilities. Charting the developmental patterns of cortical thickness in healthy infants is important for
Autor:
Anqi Qiu, Karen M. Grewen, Andrew P. Salzwedel, Wei Gao, John H. Gilmore, Rebecca C. Knickmeyer, Weili Lin
Publikováno v:
NeuroImage. 185:802-812
The past decades witnessed a surge of interest in neuroimaging study of normal and abnormal early brain development. Structural and functional studies of normal early brain development revealed massive structural maturation as well as sequential, coo
Autor:
Gang Li, Sahar Ahmad, Weili Lin, Hoyt Patrick Taylor, Khoi Minh Huynh, Pew Thian Yap, Han Zhang, Zhengwang Wu, Zhen Zhou, Ye Wu, Li Wang
Publikováno v:
Computational Diffusion MRI ISBN: 9783030730178
Functional segregation and specialization of cortical regions is central to the significant changes that take place during early brain development. We present an automated scheme that harnesses local and long-range connectivity features of the cortex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfc100c78e4ea245489bba84aa3dbae8
https://doi.org/10.1007/978-3-030-73018-5_20
https://doi.org/10.1007/978-3-030-73018-5_20
Autor:
Dinggang Shen, Tae-Eui Kam, Zhengwang Wu, Li Wang, Bing Jin, Mayssa Soussia, Zhen Zhou, Weili Lin, Islem Rekik, Gang Li, Han Zhang, Xuyun Wen, Li-Ming Hsu
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597276
MICCAI (7)
Med Image Comput Comput Assist Interv
MICCAI (7)
Med Image Comput Comput Assist Interv
Functional brain development in early infancy is a highly dynamic and complex process. Understanding each brain region’s topological role and its development in the brain functional connectivity (FC) networks is essential for early disorder detecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bafa5c4f1e3604598179be71757d4349
https://doi.org/10.1007/978-3-030-59728-3_2
https://doi.org/10.1007/978-3-030-59728-3_2
Publikováno v:
Biomed Signal Process Control
Accurate segmentation of white matter, gray matter and cerebrospinal fluid from neonatal brain MR images is of great importance in characterizing early brain development. Deep-learning-based methods have been successfully applied to neonatal brain MR
Publikováno v:
Human Brain Mapping. 38:2865-2874
Understanding the early dynamic development of the human cerebral cortex remains a challenging problem. Cortical thickness, as one of the most important morphological attributes of the cerebral cortex, is a sensitive indicator for both normal neurode