Element-wise uniqueness, sparsity, and resolution. - Keith Dillon; Yeshaiahu Fainman (CoRR, 2013)

Imaging with Rays: Microscopy, Medical Imaging, and Computer Vision. - Keith Dillon; Yeshaiahu Fainman (CoRR, 2014)

Optimization in Computational Imaging and Inverse Problems /. - Keith Dillon (2014)

An image resolution perspective on functional activity mapping. - Keith Dillon; Yu-Ping Wang 002 (EMBC, 2016)

On efficient meta-filtering of big data. - Keith Dillon; Yu-Ping Wang 002 (EMBC, 2016)

Computational estimation of resolution in reconstruction techniques utilizing sparsity, total variation, and nonnegativity. - Keith Dillon; Yeshaiahu Fainman; Yu-Ping Wang 002 (J. Electronic Imaging, 2016)

Imposing uniqueness to achieve sparsity. - Keith Dillon; Yu-Ping Wang 002 (Signal Process., 2016)

Element-wise uniqueness, prior knowledge, and data-dependent resolution. - Keith Dillon; Yeshaiahu Fainman (Signal Image Video Process., 2017)

Spectral Resolution Clustering for Brain Parcellation. - Keith Dillon; Yu-Ping Wang 002 (CoRR, 2018)

On the Computation and Applications of Large Dense Partial Correlation Networks. - Keith Dillon (CoRR, 2019)

Clustering Gaussian Graphical Models. - Keith Dillon (CoRR, 2019)

Efficient Partitioning of Partial Correlation Networks. - Keith Dillon (S+SSPR, 2020)

Feature-level Malware Obfuscation in Deep Learning. - Keith Dillon (CoRR, 2020)

The Resolution Matrix for Visualizing Functional Network Connectivity. - Keith Dillon (CoRR, 2020)