Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Weili Lin"'
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:
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
Publikováno v:
IEEE transactions on medical imaging
Fast and automated image quality assessment (IQA) for diffusion MR images is a crucial step for swiftly making a rescan decision during or after the scanning session. However, learning a model for this task is challenging as the number of annotated d
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
Autor:
Batkhuu Luvsantseren, Weili Lin, Li Yi, Myagmarsuren Erdenedalai, Zhen Wang, Surong Hasi, Chimedragchaa Chimedtseren, Rina Su, Menggen Dalai
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-13 (2020)
BMC Genomics
BMC Genomics
Background Siberian musk deer, one of the seven species, is distributed in coniferous forests of Asia. Worldwide, the population size of Siberian musk deer is threatened by severe illegal poaching for commercially valuable musk and meat, habitat loss
Publikováno v:
J Comput Assist Tomogr
Objective The objective of this study was to investigate the frequency of hippocampal sulcus remnants (HSRs) in nonelderly adults using ultra-high-resolution 7T magnetic resonance (MR) images and their imaging features. Methods A total of 33 healthy
Publikováno v:
IEEE Trans Med Imaging
Missing data is a common problem in longitudinal studies due to subject dropouts and failed scans. We present a graph-based convolutional neural network to predict missing diffusion MRI data. In particular, we consider the relationships between sampl
Publikováno v:
IEEE Trans Med Imaging
Diffusion magnetic resonance imaging (DMRI) suffers from lower signal-to-noise-ratio (SNR) due to MR signal attenuation associated with the motion of water molecules. To improve SNR, the non-local means (NLM) algorithm has demonstrated state-of-the-a
Publikováno v:
Med Image Anal
Diffusion MRI (DMRI) is a powerful tool for studying early brain development and disorders. However, the typically low spatio-angular resolution of DMRI diminishes structural details and limits quantitative analysis to simple diffusion models. This p
Retrospective artifact correction (RAC) improves image quality post acquisition and enhances image usability. Recent machine learning driven techniques for RAC are predominantly based on supervised learning and therefore practical utility can be limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c52fbf337832990ab41df00678937373
http://arxiv.org/abs/2110.04604
http://arxiv.org/abs/2110.04604