RETRACTED: Artificial neural network for defect detection in CT images of wood

L Pan, R Rogulin, S Kondrashev - 2021 - Elsevier
After a thorough investigation, the Editors-in-Chief have concluded that the acceptance of
this article was partly based upon the positive advice of at least one illegitimate reviewer …

Generalized sparse Bayesian learning and application to image reconstruction

J Glaubitz, A Gelb, G Song - SIAM/ASA Journal on Uncertainty Quantification, 2023 - SIAM
Image reconstruction based on indirect, noisy, or incomplete data remains an important yet
challenging task. While methods such as compressive sensing have demonstrated high …

Empirical Bayesian inference using a support informed prior

J Zhang, A Gelb, T Scarnati - SIAM/ASA Journal on Uncertainty Quantification, 2022 - SIAM
This paper develops a new empirical Bayesian inference algorithm for solving a linear
inverse problem given multiple measurement vectors of noisy observable data. Specifically …

Sequential image recovery using joint hierarchical Bayesian learning

Y ** a reliable holographic flow cyto-tomography apparatus by optimizing the experimental layout and computational processing
J Běhal, F Borrelli, M Mugnano, V Bianco, A Capozzoli… - Cells, 2022 - mdpi.com
Digital Holographic Tomography (DHT) has recently been established as a means of
retrieving the 3D refractive index map** of single cells. To make DHT a viable system, it is …

Sampling-based spotlight SAR image reconstruction from phase history data for speckle reduction and uncertainty quantification

V Churchill, A Gelb - SIAM/ASA Journal on Uncertainty Quantification, 2022 - SIAM
Spotlight mode airborne synthetic aperture radar (SAR) is a coherent imaging modality that
is an important tool in remote sensing. Existing methods for spotlight SAR image …