Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach

J Li, W Wang, H Ji - SIAM Journal on Imaging Sciences, 2023 - SIAM
Deep learning has proved to be a powerful tool for solving inverse problems in imaging, and
most of the related work is based on supervised learning. In many applications, collecting …

Predicting the permeability of consolidated silty clay via digital soil reconstruction

Y Liu, SJ Chen, K Sagoe-Crentsil, W Duan - Computers and Geotechnics, 2021 - Elsevier
Numerical modelling of the pore structure of porous media is still one of the most powerful
tools for predicting the soil's permeability and transport properties for geoengineers …

Digital concrete modelling: an alternative approach to microstructural pore analysis of cement hydrates

Y Liu, SJ Chen, K Sagoe-Crentsil, W Duan - Construction and Building …, 2021 - Elsevier
The porous structure of hydrated cement has a significant effect on its governing properties,
such as strength, density, ion-diffusion, acoustic performance etc. However, direct …

The use of micro-CT in materials science and aerospace engineering

S Fidan - Micro-computed Tomography (micro-CT) in Medicine …, 2020 - Springer
X-ray micro-computerized tomography (micro-CT) is a nondestructive material damage
characterization and evaluation technique capable of 3D visualization of internal damages …

X-ray tomography of the aerospace products

V Smolyanskiy, M Rychkov… - MATEC Web of …, 2017 - matec-conferences.org
Currently, non-destructive methods are increasingly being used to inspect the critical
components in different branches of industry. Special focus is on the usage of high-energy X …

Photon counting CT: Effects of dynamic beam attenuator on image quality

H Atak, PM Shikhaliev - Nuclear Instruments and Methods in Physics …, 2017 - Elsevier
Purpose: Photon counting (PC) computed tomography (CT) can provide material-selective
CT imaging at low patient dose, but it suffers from suboptimal detector count rate. A dynamic …

[PDF][PDF] Investigation of multiphase condition in pipeline using gamma computed tomography

B Azmi, M Stefanus - GANENDRA Majalah IPTEK Nuklir, 2019 - jurnal.batan.go.id
Abstract INVESTIGATION OF MULTIPHASE CONDITION IN PIPELINE USING GAMMA
COMPUTED TOMOGRAPHY. Deposition of sand particles in pipeline is a problem that often …

Inverse Problems in Imaging: From Regularization Methods to Self-Supervised Learning Methods

W Weixi - 2023 - search.proquest.com
Many image restoration problems can be mathematically modeled as inverse problems.
Solving the inverse problem requires that we know the forward model. Depending on …

[PDF][PDF] Cross-Sectional Imaging of Tree Stem Density Distribution using Gamma-Ray Tomography Technique

R Ningsih - academia.edu
Cavities in the tree stem increase the potential of the tree to collapse and threaten the safety
of people. The stem needs to be checked to determine whether the tree is safe or not. The …

[PDF][PDF] INVESTIGATION OF MULTIPHASE CONDITION IN PIPELINE USING GAMMA COMPUTED TOMOGRAPHY INVESTIGASI KONDISI MULTIFASE DI DALAM …

B Azmi, M Stefanus - pdfs.semanticscholar.org
TERKOMPUTERISASI. Endapan partikel pasir pada jalur pipa merupakan masalah yang
sering terjadi pada proses produksi dan distribusi dari minyak dan gas. Endapan tersebut …