Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Weili Lin"'
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:
Magnetic resonance in medicineREFERENCES. 86(4)
Purpose Motion can strongly affect MRI image quality and derived imaging measures. We studied the effects of motion and retrospective motion correction (MC) on the visualization and quantitative measures of the perivascular space and penetrating vess
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
Publikováno v:
IEEE Access, Vol 7, Pp 18382-18391 (2019)
Perivascular spaces (PVS) in the human brain are related to various brain diseases. However, it is difficult to quantify them due to their thin and blurry appearance. In this paper, we introduce a deep-learning-based method, which can enhance a magne
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
In this paper, we propose an efficient framework for parcellation of white matter tractograms using discriminative dictionary learning. Key to our framework is the learning of a compact dictionary for each fiber bundle so that the streamlines within
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::819e6eb2b68f06c5359f78a897405e7c
https://doi.org/10.1007/978-3-030-59728-3_25
https://doi.org/10.1007/978-3-030-59728-3_25
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783030598600
MLMI@MICCAI
Mach Learn Med Imaging
MLMI@MICCAI
Mach Learn Med Imaging
To characterize early cerebellum development, accurate segmentation of the cerebellum into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) tissues is one of the most pivotal steps. However, due to the weak tissue contrast, extremel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d8423f0d60111eefb775a8aa769c856
https://doi.org/10.1007/978-3-030-59861-7_67
https://doi.org/10.1007/978-3-030-59861-7_67
Autor:
Dinggang Shen, Li Wang, Gang Li, Chunfeng Lian, Wei Shao, Liang Sun, Zhengwang Wu, Daoqiang Zhang, Weili Lin
Publikováno v:
Neuroimage
Reconstruction of accurate cortical surfaces without topological errors (i.e., handles and holes) from infant brain MR images is very important in early brain development studies. However, infant brain MR images typically suffer extremely low tissue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2dbacb9c4bb27ee5b5fdab3f23ae18a
https://europepmc.org/articles/PMC6602545/
https://europepmc.org/articles/PMC6602545/
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030203504
IPMI
Inf Process Med Imaging
IPMI
Inf Process Med Imaging
Fiber tractography in baby diffusion MRI is challenging due to the low and spatially-varying diffusion anisotropy, causing most tractography algorithms to yield streamlines that fall short of reaching the cortex. In this paper, we introduce a method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9877b6b7e3c25055c4748e4a73bbfa0
https://doi.org/10.1007/978-3-030-20351-1_24
https://doi.org/10.1007/978-3-030-20351-1_24
Publikováno v:
NeuroImage. 125:895-902
Noninvasive imaging of perivascular spaces (PVSs) may provide useful insights into their role in normal brain physiology and diseases. Fast MRI sequences with sub-millimeter spatial resolutions and high contrast-to-noise ratio (CNR) are required for