脱毛
发表于 2025-3-30 11:59:35
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意外
发表于 2025-3-30 15:54:29
Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modellingframework. This leverages the computational power of the model, data and targets to represent brain connectivity, and could enable the identification of potential biomarkers for the supervised target in question. We evaluate our pipeline on the UKBiobank dataset for age and gender classification tas
协定
发表于 2025-3-30 20:31:16
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托人看管
发表于 2025-3-30 23:06:12
Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivityes using multi-resolution dual-regressed (subject-specific) ICA nodes. Results show a prediction accuracy of 94.4% for sex classification (an increase of 6.2% compared to other methods), and an improvement of correlation with fluid intelligence of 0.325 vs 0.144, relative to a baseline model that en
Etymology
发表于 2025-3-31 01:19:07
H3K27M Mutations Prediction for Brainstem Gliomas Based on Diffusion Radiomics Learningle node features of brainstem are governed by local tumor radiomics. Upon this model, we further propose a multi-mechanism diffusion convolutional network to couple multi-modal information and generate a joint representation for brain disease diagnosis. By graph diffusion convolution, the local radi
似少年
发表于 2025-3-31 07:05:07
Constrained Learning of Task-Related and Spatially-Coherent Dictionaries from Task fMRI Data network hubs. An efficient on-line optimization framework identifies the temporal and spatial patterns. The method identifies spatial and temporal patterns programmed into synthetic task fMRI data. The proposed method also identifies spatial locations known . to be activated by the Attention Networ
macabre
发表于 2025-3-31 13:13:42
Malte Klingenberg,Didem Stark,Fabian Eitel,Kerstin Ritter,for the Alzheimer’s Disease Neuroimaging I of fifteen major states of India in terms of education, health and human development. An important feature of the book is that it approaches these issues, applying rigorously advanced econometric methods, and 978-81-322-1741-1978-81-322-0981-2Series ISSN 2198-0012 Series E-ISSN 2198-0020
reflection
发表于 2025-3-31 14:39:35
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geriatrician
发表于 2025-3-31 18:31:53
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增长
发表于 2025-3-31 22:30:37
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