18 citations · 47 across the 11 of their papers we have counts for
4 papers · 1 filter
Decoding natural image stimuli from fMRI data with a surface-based convolutional network
Zijin Gu, Keith Jamison, Amy Kuceyeski +1
Due to the low signal-to-noise ratio and limited resolution of functional MRI data, and the high complexity of natural images, reconstructing a visual stimulus from human brain fMR…
Neural encoding with visual attention
Meenakshi Khosla, Gia H. Ngo, Keith Jamison +2
Visual perception is critically influenced by the focus of attention. Due to limited resources, it is well known that neural representations are biased in favor of attended locatio…
Ensemble learning with 3D convolutional neural networks for connectome-based prediction
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski +1
The specificty and sensitivity of resting state functional MRI (rs-fMRI) measurements depend on pre-processing choices, such as the parcellation scheme used to define regions of in…
3D Convolutional Neural Networks for Classification of Functional Connectomes
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski +1
Resting-state functional MRI (rs-fMRI) scans hold the potential to serve as a diagnostic or prognostic tool for a wide variety of conditions, such as autism, Alzheimer's disease, a…