5 citations · 9 across the 7 of their papers we have counts for
8 papers
Focus optimization in a Computational Confocal Microscope
Keith Dillon
We consider the numerical optimization of performance for a computational extension of a confocal microscope. Using a system where the pinhole detector is replaced with a detector…
The Resolution Matrix for Visualizing Functional Network Connectivity
Keith Dillon
The resolution matrix is a mathematical tool for analyzing inverse problems such as computational imaging systems. When treating network connectivity estimation as an inverse probl…
Feature-level Malware Obfuscation in Deep Learning
Keith Dillon
We consider the problem of detecting malware with deep learning models, where the malware may be combined with significant amounts of benign code. Examples of this include piggybac…
Clustering Gaussian Graphical Models
Keith Dillon
We derive an efficient method to perform clustering of nodes in Gaussian graphical models directly from sample data. Nodes are clustered based on the similarity of their network ne…
On the Computation and Applications of Large Dense Partial Correlation Networks
Keith Dillon
While sparse inverse covariance matrices are very popular for modeling network connectivity, the value of the dense solution is often overlooked. In fact the L2-regularized solutio…
Spectral Resolution Clustering for Brain Parcellation
Keith Dillon, Yu-Ping Wang
We take an image science perspective on the problem of determining brain network connectivity given functional activity. But adapting the concept of image resolution to this proble…