15 citations · 19 across the 3 of their papers we have counts for
3 papers
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images
Pascal Sturmfels, Saige Rutherford, Mike Angstadt +3
Given the wide success of convolutional neural networks (CNNs) applied to natural images, researchers have begun to apply them to neuroimaging data. To date, however, exploration o…
Which Findings from the Functional Neuromaging Literature Can We Trust?
Daniel Kessler, Michael Angstadt, Chandra Sripada
In their recent "Cluster Failure" paper, Eklund and colleagues cast doubt on the accuracy of a widely used statistical test in functional neuroimaging. Here, we leverage nonparamet…
Disease Prediction based on Functional Connectomes using a Scalable and Spatially-Informed Support Vector Machine
Takanori Watanabe, Daniel Kessler, Clayton Scott +2
Substantial evidence indicates that major psychiatric disorders are associated with distributed neural dysconnectivity, leading to strong interest in using neuroimaging methods to…