PAC 发表于 2025-3-30 12:04:18

A Simple and Efficient Cylinder Imposter Approach to Visualize DTI Fiber Tracts,ased parallel processing systems. Using 10,000 fiber tracts derived from a real DTI scan, we show the rendering speed of our imposter approach is 50% times faster, and requires 900% less memory, when compared visualization approach that uses 3D cylinders.

神化怪物 发表于 2025-3-30 15:43:20

Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Stining topological data analysis with statistical inference, our results provide evidence of statistically significant network-specific structural abnormalities in autism, from SCNs derived from SN and ECN. These differences in brain architecture are consistent with direct structural analysis using s

interior 发表于 2025-3-30 19:08:11

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个阿姨勾引你 发表于 2025-3-30 22:08:17

Early Brain Functional Segregation and Integration Predict Later Cognitive Performance, the triple networks harbor at the medial prefrontal cortex, an ideal brain region for unveiling early development of the high-level functions. Further parcellation of this area indicates consistent subdivisions from 0 to 2 years old, indicating largely predefined functional segregation in this high

Incorporate 发表于 2025-3-31 04:31:26

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dapper 发表于 2025-3-31 08:54:02

A Whole-Brain Reconstruction Approach for FOD Modeling from Multi-Shell Diffusion MRI,arizations and show that anisotropic regularization produces more robust results across various fiber configurations. We also apply our method to . data from 80 HCP subjects and evaluate the impact of FOD modeling methods on the reconstruction of the challenging fiber bundles from the locus coeruleu

OGLE 发表于 2025-3-31 10:34:59

The uniform output regulation problem,ific HONs (.-. HONs), . a series of cross-frequency interaction-based HONs (.-. HONs) based on the low-order FC sub-networks constructed at different frequency bands. Both types of these HONs, together with the frequency-specific LONs, are used for the complex network analysis-based feature extracti

GNAW 发表于 2025-3-31 13:51:17

The uniform output regulation problem,fication method against supervised and unsupervised state-of-the-art methods, while depicting the most discriminative high- and low-order relationships between morphological regions in the left and right hemispheres.

自爱 发表于 2025-3-31 17:51:12

https://doi.org/10.1007/0-8176-4465-2me-series signals. The FCNet consists of a convolutional neural network that extracts features from time-series signals and a fully connected network that computes the similarity between the extracted features in a Siamese architecture. The functional connectivity computed using FCNet is combined wi

小官 发表于 2025-4-1 01:23:10

Alexey Pavlov,Nathan Wouw,Henk Nijmeijerecognize the identity of 20 different subjects. The results show person identification models trained with our feature are approximately 30% and 50% more accurate than models trained only using hub-based features and region-to-region features, respectively. Lastly, a . is identified using a neural n
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查看完整版本: Titlebook: Connectomics in NeuroImaging; First International Guorong Wu,Paul Laurienti,Brent C. Munsell Conference proceedings 2017 Springer Internat