[PDF][PDF] Deep learning based sinogram correction for metal artifact reduction

MU Ghani, WC Karl - Electronic Imaging, 2018 - library.imaging.org
Computed Tomography (CT) is a non-invasive imaging technique that reconstructs cross-
sectional images of scenes from a series of projections acquired at different angles. In …

Beyond gradient descent for regularized segmentation losses

D Marin, M Tang, IB Ayed… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
The simplicity of gradient descent (GD) made it the default method for training ever-deeper
and complex neural networks. Both loss functions and architectures are often explicitly tuned …

Integrating data and image domain deep learning for limited angle tomography using consensus equilibrium

M Usman Ghani, W Clem Karl - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Computed Tomography (CT) is a non-invasive imaging modality with applications ranging
from healthcare to security. It reconstructs cross-sectional images of an object using a …

DALM, Deformable Attenuation-Labeled Mesh for Tomographic Reconstruction and Segmentation

J Koo, AB Dahl, VA Dahl - IEEE Transactions on Computational …, 2021 - ieeexplore.ieee.org
Most X-ray tomographic reconstruction methods represent a solution as an image on a
regular grid. Such representation may be inefficient for reconstructing homogeneous objects …

Fast and robust discrete computational imaging

A Tuysuzoglu, Y Khoo, WC Karl - Electronic Imaging, 2017 - library.imaging.org
Computational imaging problems are of increasing importance in domains ranging from
security to biology and medicine. In these problems computational techniques based on an …

A data consistent variational segmentation approach suitable for real-time tomography

H Der Sarkissian, N Vigano… - Fundamenta …, 2018 - content.iospress.com
Computed Tomography (CT) is an imaging technique that allows to reconstruct volumetric
information of the analyzed objects from their projections. The most popular reconstruction …

[PDF][PDF] X-ray computed tomography of pipe sections by discrete tomography and total variation minimization

A Salosensaari - 2018 - helda.helsinki.fi
X-ray computed tomography of pipe sections by discrete tomography and total variation
minimization Page 1 Master’s Thesis / Pro gradu -tutkielma X-ray computed tomography of pipe …