Artificial intelligence in cardiac computed tomography
AA Aromiwura, T Settle, M Umer, J Joshi… - Progress in …, 2023 - Elsevier
Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern
application of AI encompasses intelligent models and algorithms for automated data …
application of AI encompasses intelligent models and algorithms for automated data …
Statistically unbiased prediction enables accurate denoising of voltage imaging data
Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal
information in imaging data), a self-supervised learning method for removing Poisson …
information in imaging data), a self-supervised learning method for removing Poisson …
COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter
S Guo, G Wang, L Han, X Song, W Yang - Biomedical Signal Processing …, 2022 - Elsevier
CT image of COVID-19 is disturbed by impulse noise during transmission and acquisition.
Aiming at the problem that the early lesions of COVID-19 are not obvious and the density is …
Aiming at the problem that the early lesions of COVID-19 are not obvious and the density is …
Assessing changes in nighttime lighting in the aftermath of the Turkey-Syria earthquake using SDGSAT-1 satellite data
B Yu, F Chen, N Wang, L Wang, H Guo - The Innovation, 2023 - cell.com
On February 6, 2023, a powerful earthquake with a magnitude of 7.8 MW struck
southeastern Turkey and northwestern Syria. The epicenter of the earthquake was in …
southeastern Turkey and northwestern Syria. The epicenter of the earthquake was in …
RED-MAM: A residual encoder-decoder network based on multi-attention fusion for ultrasound image denoising
LI Yancheng, X Zeng, Q Dong, X Wang - Biomedical Signal Processing and …, 2023 - Elsevier
The dependence of speckle noise in ultrasound images on image data makes the research
of ultrasound image denoising tasks a great challenge. Several deep learning-based …
of ultrasound image denoising tasks a great challenge. Several deep learning-based …
Robust mean shift filter for mixed Gaussian and impulsive noise reduction in color digital images
Noise reduction is one of the most important topics of digital image processing and despite
the fact that it has been studied for a long time it remains the subject of active research. In …
the fact that it has been studied for a long time it remains the subject of active research. In …
A two-stage filter for high density salt and pepper denoising
Image restoration is an important and interesting problem in the field of image processing
because it improves the quality of input images, which facilitates postprocessing tasks. The …
because it improves the quality of input images, which facilitates postprocessing tasks. The …
GPR B-scan image denoising via multi-scale convolutional autoencoder with data augmentation
J Luo, W Lei, F Hou, C Wang, Q Ren, S Zhang, S Luo… - Electronics, 2021 - mdpi.com
Ground-penetrating radar (GPR), as a non-invasive instrument, has been widely used in civil
engineering. In GPR B-scan images, there may exist random noise due to the influence of …
engineering. In GPR B-scan images, there may exist random noise due to the influence of …
Joint image compression and denoising via latent-space scalability
When it comes to image compression in digital cameras, denoising is traditionally performed
prior to compression. However, there are applications where image noise may be necessary …
prior to compression. However, there are applications where image noise may be necessary …
Crack detection in low carbon steel using Rotating Uniform Eddy Current probe and noise signal filtering based on Multivariate Singular Spectrum Analysis
This study presents an investigation into the utilization of the Rotating Uniform Eddy Current
(RUEC) probe, both with and without ferrite cores, for enhanced crack detection in low …
(RUEC) probe, both with and without ferrite cores, for enhanced crack detection in low …