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EEG and fMRI Artifact Detection Techniques: A Survey of Recent Developments
The evolution of different techniques for exploring cerebral activity and the development of signal processing and analysis methods have enabled a...
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Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction
Metal artifact reduction (MAR) is important to alleviate the impacts of metal implants on clinical diagnosis with CT images. However, enhancing the...
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Building a Bridge: Close the Domain Gap in CT Metal Artifact Reduction
Metal artifacts in computed tomography (CT) degrade the imaging quality, leading to a negative impact on the clinical diagnosis. Empowered by medical...
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Image Manipulation Detection Based on Ringed Residual Edge Artifact Enhancement and Multiple Attention Mechanisms
As image editing techniques continue to evolve, concerns over the security risks associated with forged images are growing. Previous studies have...
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Metal artifact correction in head computed tomography based on a homographic adaptation convolution neural network
In dental treatment, an increasing number of patients choose metal-implant surgery to treat oral conditions. Computed tomography (CT) images of...
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A constrained optimization method for blocking artifact compensation in JPEG infrared image
Aiming to improve the quality of JPEG decompressed infrared images, this paper presents a constrained optimization method for blocking artifact...
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Orientation-Shared Convolution Representation for CT Metal Artifact Learning
During X-ray computed tomography (CT) scanning, metallic implants carrying with patients often lead to adverse artifacts in the captured CT images...
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Automatic suppression of breathing related artifact from raw magnetocardiogram by combining unsupervised learning technique with EMD
The magnetocardiogram (MCG) is an innovative method for non-contact assessment of subtle magnetic fields linked to the heart’s electric behavior....
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Hybrid Method for Gibbs-Ringing Artifact Suppression in Magnetic Resonance Images
AbstractSuppression of ringing artifacts in images is a well-known image restoration problem. Gibbs-ringing artifacts occur when, in the process of...
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Impact of Ocular Artifact Removal on EEG-Based Color Classification for Locked-In Syndrome BCI Communication
Locked-in Syndrome (LIS) is a neurological condition that results in paralysis of the body and the loss of communication abilities while leaving the...
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Artifact-Based Domain Generalization of Skin Lesion Models
Deep Learning failure cases are abundant, particularly in the medical area. Recent studies in out-of-distribution generalization have advanced...
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Understanding and improving artifact sharing in software engineering research
In recent years, many software engineering researchers have begun to include artifacts alongside their research papers. Ideally, artifacts, including...
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Mobile Forensic for KeyLogger Artifact
This chapter investigates mobile forensic investigation for the KeyLogger application installed on iOS or Android; it introduces and helps the...
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SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals
Neuronal signals generally represent activation of the neuronal networks and give insights into brain functionalities. They are considered as...
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A new tile boundary artifact removal method for tile-based viewport-adaptive streaming in 360∘ videos
In recent years, 360 ∘ video is becoming popular with the development of the virtual reality technology. However, the 360 ∘ video streaming faces many...
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Artifact-free fat-water separation in Dixon MRI using deep learning
Chemical-shift encoded MRI (CSE-MRI) is a widely used technique for the study of body composition and metabolic disorders, where derived fat and...
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Remote real-time heart rate monitoring with recursive motion artifact removal using PPG signals from a smartphone camera
Remote photoplethysmography (rPPG) recorded by low-cost smartphone cameras is a promising method for noncontact monitoring of heart rate (HR). The...
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Artifact Management in the Cloud Native Environment
The development history of computer technology can be attributed to the history of the continuous pursuit and improvement of computing efficiency by...
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Clustering Design Science Research Based on the Nature of the Designed Artifact
During the past two decades, Design Science Research (DSR) has become a central research paradigm in information systems (IS) science. It provides a...
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A \(^3\) DSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation
Spinal surgery planning necessitates automatic segmentation of vertebrae in cone-beam computed tomography (CBCT), an intraoperative imaging modality...