Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Shihui Ying"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/6054b1a9ff584c4b93fb2d949b668652
Autor:
Yue Sun, Limei Wang, Kun Gao, Shihui Ying, Weili Lin, Kathryn L. Humphreys, Gang Li, Sijie Niu, Mingxia Liu, Li Wang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Accurate tissue segmentation is critical to characterize early cerebellar development in the first two postnatal years. However, challenges in tissue segmentation arising from tightly-folded cortex, low and dynamic tissue contrast, and large
Externí odkaz:
https://doaj.org/article/0e3390687386410f97dcaef1ae5428e1
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1617 (2024)
In scientific computing, neural networks have been widely used to solve partial differential equations (PDEs). In this paper, we propose a novel RBF-assisted hybrid neural network for approximating solutions to PDEs. Inspired by the tendency of physi
Externí odkaz:
https://doaj.org/article/6a105a79dff64c329ba011101489f5cd
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2406-2417 (2022)
Convolutional Neural Network (CNN) is commonly used for the Electroencephalogram (EEG) based motor-imagery (MI) decoding. However, its performance is generally limited due to the small size sample problem. An alternative way to address such issue is
Externí odkaz:
https://doaj.org/article/98f0c4d6cb84466a8509d35567602be2
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1155 (2023)
Low-rank matrix completion aims to recover an unknown matrix from a subset of observed entries. In this paper, we solve the problem via optimization of the matrix manifold. Specially, we apply QR factorization to retraction during optimization. We de
Externí odkaz:
https://doaj.org/article/7588d9d6c621439eb3b678ebf910a9ec
Publikováno v:
IEEE Access, Vol 8, Pp 16953-16964 (2020)
Metric plays a key role in the description of similarity between samples. An appropriate metric for data can well represent their distribution and further promote the performance of learning tasks. In this paper, to better describe the heterogeneous
Externí odkaz:
https://doaj.org/article/c011d59dc9b04198904f5e280354c22c
Publikováno v:
IEEE Access, Vol 8, Pp 156504-156518 (2020)
Partial registration for point clouds plays an important role in various fields such as 3D mapping reconstruction, remote sensing, unmanned driving, and cultural heritage protection. Unfortunately, partial registration is challenging due to difficult
Externí odkaz:
https://doaj.org/article/f1fa896fa25342ba81815ca4ad3d0a99
Publikováno v:
IEEE Access, Vol 8, Pp 40692-40703 (2020)
In this paper, we introduce a modified Generalized Iterative Closest Point (GICP) algorithm by presenting a coarse-to-fine strategy. Our contributions can be summarized as: Firstly, we use adaptively a plane-to-plane probabilistic matching model by g
Externí odkaz:
https://doaj.org/article/96c89b4ddcd54f24a7590ef45674371d
Publikováno v:
Mathematics, Vol 10, Iss 12, p 1976 (2022)
In this paper, we propose a deep wavelet neural network (DWNN) model to approximate the natural phenomena that are described by some classical PDEs. Concretely, we introduce wavelets to deep architecture to obtain a fine feature description and extra
Externí odkaz:
https://doaj.org/article/f97ebcfd14c84a2bba6f9a1ca8f1c9f6
Publikováno v:
Mathematics, Vol 10, Iss 11, p 1946 (2022)
Image registration aims to align two images through a spatial transformation. It plays a significant role in brain imaging analysis. In this research, we propose a symmetric diffeomorphic image registration model based on multi-label segmentation mas
Externí odkaz:
https://doaj.org/article/751e97e9b316470da81bdea330ef369d