Gradient-weighted Class Activation Mapping (Grad-CAM), uses the gradients of any target concept flowing into the final convolutional layer to produce a coarse localization map highlighting the ...
Grad-CAM (Gradient-weighted Class Activation Mapping) is a technique for visualizing and interpreting the decisions made by deep learning models, particularly in the context of image classification.
This study presents important findings indicating that gradients of functional connectivity are present in the human foetal brain, and that these gradients develop further during gestation, ...
Schematic overview of the gradient mapping protocol. For each different imaging modality (DWI; BOLD; PET) a feature matrix was built by extracting voxel-wise features in the left and right pulvinar ...
A novel quantitative susceptibility mapping (QSM) processing technology has been developed to map tissue susceptibility property without blooming artifacts. We hypothesize that hematoma volume ...
1 Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway 2 Department for Medical Engineering, Haukeland University Hospital, Bergen, Norway Recent models on speech ...
Introduction: Age-related hearing loss (ARHL) is a common sensory disability among older adults and is considered a risk factor for the development of dementia. Previous work has shown altered brain ...
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