26 citations · 62 across the 14 of their papers we have counts for
15 papers
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction
K. Aditya Mohan, Massimiliano Ferrucci, Chuck Divin +2
4D time-space reconstruction of dynamic events or deforming objects using X-ray computed tomography (CT) is an important inverse problem in non-destructive evaluation. Conventional…
Physics-based basis functions for low-dimensional representation of the refractive index in the high energy limit
Saransh Singh, K. Aditya Mohan
The relationship between the refractive index decrement, , and the real part of the atomic form factor, , is used to derive a simple polynomial functional form for $δ(…
Maximum Likelihood based Phase-Retrieval using Fresnel Propagation Forward Models with Optional Constraints
K. Aditya Mohan, Jean-Baptiste Forien, Venkatesh Sridhar +2
X-ray phase-contrast tomography (XPCT) is widely used for high contrast 3D imaging using either synchrotron or laboratory microfocus X-ray sources. XPCT enables an order of magnitu…
X-ray Spectral Estimation using Dictionary Learning
Wenrui Li, Venkatesh Sridhar, K. Aditya Mohan +5
As computational tools for X-ray computed tomography (CT) become more quantitatively accurate, knowledge of the source-detector spectral response is critical for quantitative syste…
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan +4
Limited-Angle Computed Tomography (LACT) is a non-destructive evaluation technique used in a variety of applications ranging from security to medicine. The limited angle coverage i…
Iterative Reconstruction of the Electron Density and Effective Atomic Number using a Non-Linear Forward Model
K. Aditya Mohan, Kyle M. Champley, Albert W. Reed +2
For material identification, characterization, and quantification, it is useful to estimate system-independent material properties that do not depend on the detailed specifications…