Virtues 发表于 2025-3-25 04:08:09
http://reply.papertrans.cn/47/4652/465163/465163_21.png建筑师 发表于 2025-3-25 08:17:50
Template-Based Multimodal Joint Generative Model of Brain Dataies. These models can then be used to describe expected intensities in an unseen image modalities given one or multiple observations, or to detect deviations (e.g. pathology) from the expected intensity patterns. In this work, we propose a template-based multi-modal generative mixture-model of imagi显微镜 发表于 2025-3-25 15:31:04
http://reply.papertrans.cn/47/4652/465163/465163_23.png逢迎春日 发表于 2025-3-25 17:07:56
http://reply.papertrans.cn/47/4652/465163/465163_24.pnghandle 发表于 2025-3-25 20:28:21
http://reply.papertrans.cn/47/4652/465163/465163_25.png热情的我 发表于 2025-3-26 01:03:34
Accelerated High Spatial Resolution Diffusion-Weighted Imagingntly been proposed to increase the spatial resolution in diffusion weighted imaging (DWI), providing a theoretical 8x acceleration at equal signal-to-noise ratio (SNR) compared to conventional dense k-space sampling. However, in most works, each DW image is reconstructed separately and the fact that无可争辩 发表于 2025-3-26 07:42:06
Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fhole-brain connectivity analysis, a critical stage is the computation of a set of network nodes that can effectively represent cortical regions. To address this problem, we present a robust cerebral cortex parcellation method based on spectral graph theory and resting-state fMRI correlations that geFOIL 发表于 2025-3-26 11:25:08
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Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations associations between brain and behavior largely analyze each behavioral measure in isolation. To jointly model multiple behavioral scores, sparse multiresponse regression (SMR) is often used. However, directly applying SMR without statistically controlling for false positives could result in many sTHROB 发表于 2025-3-26 19:03:37
Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statisalse discovery rate (FDR) criterion was introduced to the neuroimaging community a decade ago, various improvements have been proposed. However, a highly desirable feature, transformation invariance, has not been adequately addressed, especially for voxel-based FDR. Thresholding applied after spatia