Maximal N-Ghosts and Minimal Information Recovery from N Projected Views of an Array. - Imants D. Svalbe; Matthew Ceko (DGCI, 2017)

Large Families of "Grey" Arrays with Perfect Auto-Correlation and Optimal Cross-Correlation. - Imants D. Svalbe; Matthew Ceko; Andrew Z. Tirkel (DGCI, 2017)

Symmetric Counterparts of Classical 1D Haar Filters for Improved Image Reconstruction via Discrete Back-Projection. - Matthew Ceko; Imants D. Svalbe (ISMM, 2017)

Impulse-Equivalent Sequences and Arrays. - Matthew Ceko; Mustafa Hamid; Imants D. Svalbe; Timothy C. Petersen; Andrew Z. Tirkel (DICTA, 2018)

Symmetric Masks for In-fill Pixel Interpolation on Discrete p: q Lattices. - Matthew Ceko; Arnaud Guinard; Imants D. Svalbe (J. Math. Imaging Vis., 2018)

Large Families of "Grey" Arrays with Perfect Auto-correlation and Optimal Cross-Correlation. - Matthew Ceko; Imants D. Svalbe; Timothy C. Petersen; Andrew Z. Tirkel (J. Math. Imaging Vis., 2019)

A discrete projection analogue to Pick's theorem. - Matthew Ceko; Imants D. Svalbe; Timothy C. Petersen (Graph. Model., 2020)

Algorithms for linear time reconstruction by discrete tomography II. - Matthew Ceko; Silvia M. C. Pagani; Rob Tijdeman (Discret. Appl. Math., 2021)

Boundary Ghosts for Discrete Tomography. - Matthew Ceko; Timothy C. Petersen; Imants D. Svalbe; Rob Tijdeman (J. Math. Imaging Vis., 2021)

Three-Dimensional Maximal and Boundary Ghosts. - Matthew Ceko; Rob Tijdeman (J. Math. Imaging Vis., 2021)

Discrete projection: Highly correlated arrays and ghosts for image reconstruction. - Matthew Ceko (2021)

A Curious Invariance Property of Certain Perfect Legendre Arrays: Stirring Without Mixing. - Timothy C. Petersen; Matthew Ceko; David M. Paganin; Imants D. Svalbe (DGMM, 2022)

Error Correction for Discrete Tomography. - Matthew Ceko; Lajos Hajdu; Rob Tijdeman (Fundam. Informaticae, 2022)

A linear time approach to three-dimensional reconstruction by discrete tomography. - Matthew Ceko; Silvia M. C. Pagani; Rob Tijdeman (Contributions Discret. Math., 2024)