Zobrazeno 1 - 10
of 96
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
Publikováno v:
Med Image Comput Comput Assist Interv
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)
The difficulty of acquiring resting-state fMRI of early developing children under the same condition leads to a dedicated protocol, i.e., scanning younger infants during sleep and older children during being awake, respectively. However, the obviousl
Publikováno v:
Mach Learn Med Imaging
Machine Learning in Medical Imaging ISBN: 9783030875886
MLMI@MICCAI
Machine Learning in Medical Imaging ISBN: 9783030875886
MLMI@MICCAI
Accurate tissue segmentation of large-scale pediatric brain MR images from multiple sites is essential to characterize early brain development. Due to imaging motion/Gibbs artifacts and multi-site issue (or domain shift issue), it remains a challenge
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
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:
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
Autor:
Jiliu Zhou, Biting Yu, David S. Lalush, Xi Wu, Weili Lin, Yan Wang, Lei Wang, Dinggang Shen, Luping Zhou, Chen Zu
Publikováno v:
IEEE Transactions on Medical Imaging. 38:1328-1339
Positron emission tomography (PET) has been substantially used recently. To minimize the potential health risk caused by the tracer radiation inherent to PET scans, it is of great interest to synthesize the high-quality PET image from the low-dose on
Publikováno v:
IEEE Transactions on Cybernetics. 49:1123-1136
Accurate segmentation of infant brain images into different regions of interest is one of the most important fundamental steps in studying early brain development. In the isointense phase (approximately 6–8 months of age), white matter and gray mat
Autor:
Qian Zhang, Josien P. W. Pluim, Jing Xia, Ismail Ben Ayed, Guannan Li, Jitae Shin, Jia-Wei Chen, Zhengwang Wu, Adrià Casamitjana, Vladimir S. Fonov, Yongchao Xu, Weili Lin, Fan Wang, Li Wang, Jose Dolz, Oualid Benkarim, Guoyan Zheng, Guodong Zeng, Christian Desrosiers, Elodie Puybareau, Dong Nie, Gerard Sanroma, Gang Li, Kim-Han Thung, Andrew Doyle, Pim Moeskops, Dinggang Shen, Toan Duc Bui, Verónica Vilaplana
Publikováno v:
IEEE Transactions on Medical Imaging, 38(9):2901712, 2219-2230. Institute of Electrical and Electronics Engineers
Accurate segmentation of infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is an indispensable foundation for early studying of brain growth patterns and morphological changes in neuro