voxel-based methodsmanipulationdisplayvolumetrically sampled real-world dataVoxel models, or exhaustive enumeration schemes, offer several fundamental advantages for the representation of complex three-dimensional objects. In the past, voxel-based methods have been used for the manipulation and display of ...
a许多的爱 Many loves[translate] aCommonly used brain function mapping techniques are mainly based on the traditional voxel-based methods. 映射技术的常用的脑子作用根据传统基于voxel的方法主要。[translate]
In the past, voxel-based methods have been used for the manipulation and display of volumetrically sampled real-world data in diverse research areas such as medical imaging, confocal microscopy, seismic data processing and reservoir simulation. We will present an introduction to the existing ...
Methods: White matter density was compared among three groups by voxel-based morphometry. 方法:用基于像素的形态学测量法比较三组的白质密度。 lib.cqvip.com 3. A New Compressed Voxel-Based Method for Scanning Body Modeling of a Fillet-End Cutting Tool and Its Application 基于压缩体素模型的环形刀空...
Methods: White matter density was compared among three groups by voxel-based morphometry. 方法:用基于像素的形态学测量法比较三组的白质密度。 lib.cqvip.com 3. A New Compressed Voxel-Based Method for Scanning Body Modeling of a Fillet-End Cutting Tool and Its Application 基于压缩体素模型的环形刀空...
These optimization methods solve the problem of automatic optimization design of functional graded TPMS structures, but there are still some drawbacks: 1. To ensure the integrity of each analysis unit, the optimization scale of the graded structure was limited to the single-cell level in previous ...
However, it has also become a limitation of VBA-SPM based methods, since it is often chosen empiri- cally, non-optimally, and lacks spatial adaptivity to the shape and spatial extent of the region of interest. In this paper, we propose a new frame- work, named Optimally-Discriminative ...
Methods for comparing VLSM maps. (a) A scatterplot of the correlation between fluency and comprehension t-scores, with voxels treated as subjects (r = 0.59). (b) Differences between the t-statistics for each of the tasks. The color codes are common across both panels, showing differences be...
compared to existing voxel-based methods, Voxel R-CNN delivers a higher detection accuracy while maintaining a real-time frame processing rate, \emph{i.e}., at a speed of 25 FPS on an NVIDIA RTX 2080 Ti GPU. The code is available at \url{https://github.com/djiajunustc/Voxel-R-CNN}...
The VLSMmethod described here uses the same voxel-based proceduresthat are used to analyze functional neuroimaging data, thusavoiding some of the limitations of traditional lesion analysismethods. Notably, VLSM does not require patients to begrouped by either lesion site or behavioral cutoff, but ...