Titlebook: Learning Disorders Across the Lifespan; A Mental Health Fram Amy E. Margolis,Jessica Broitman Book 2023 The Editor(s) (if applicable) and T

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) is crucial for informing prognosis and determining treatment strategies. Current automated differential diagnosis methods for .F-fluorodeoxyglucose (.F-FDG) positron emission tomography (PET) scans, such as convolutional neural networks (CNNs), often focus on local brain regions and do not explici

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Michael Kern,Kamaru Johnson,Stephen Peverlyntly 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

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Jessica Broitmanhole-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 ge

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icit point correspondence across the training data set. In medical imaging, point sets can generally represent different shape classes that span healthy and pathological exemplars. In such cases, the constructed SSM may not generalize well, largely because the probability density function (pdf) of t

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Amy E. Margolis,Gayle Formanalse 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

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Daphne Kopelman-Rubin,Anat Brunstein-klome,Laura Mufsonlysis and interpretation, for an international workshop that allows extensive, in-depth d- cussion of new ideas. Many of the most in?uential developments in the ?eld were ?rst presented at IPMI, and the series has done much to foster a rigorous sci- ti?c approach to information processing in medical

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