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A projection-domain iterative algorithm for metal artifact reduction by minimizing the total-variation norm and the negative-pixel energy
Metal objects in X-ray computed tomography can cause severe artifacts. The state-of-the-art metal artifact reduction methods are in the sinogram...
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CycleGAN Based Motion Artifact Cancellation for Photoplethysmography Wearable Device
Motion artifacts (MA) in photoplethysmography (PPG) signals is a challenging problem in signal processing today although various methods have been...
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From Requirements to Prototy**: Proposal and Evaluation of an Artifact to Support Interface Design in the Context of Autism
Develo** appropriate user interfaces is crucial for a positive user experience, as some users may require that the interaction supports specific...
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Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI
Subject motion during an MRI sequence can cause ghosting effects or diffuse image noise in the phase-encoding direction and hence is likely to bias...
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Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques
Colorectal cancer cases have been increasing at an alarming rate each year, imposing a healthcare burden worldwide. Multiple efforts have been made...
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InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
For the task of metal artifact reduction (MAR), although deep learning (DL)-based methods have achieved promising performances, most of them suffer...
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Reusing artifact-centric business process models: a behavioral consistent specialization approach
Process reuse is one of the important research areas that address efficiency issues in business process modeling. Similar to software reuse, business...
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Enterprise architecture framework evaluation criteria: a literature review and artifact development
Selecting an enterprise architecture framework (EAF) that will best address the needs of their organization is a difficult task for enterprise...
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Brain CT Image with Motion Artifact Augmentation Based on PGGAN and FBP for Artifact Detection
Synthesis of computed tomographic images with motion artifact has many applications in assisted medical diagnosis such as artifact detection and...
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A deep wavelet sparse autoencoder method for online and automatic electrooculographical artifact removal
Electrooculographical (EOG) artifacts are problematic to electroencephalographical (EEG) signal analysis and degrade performance of brain–computer...
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Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT
Limiting the potential risks associated with radiation exposure is critically important when obtaining a diagnostic image. However, lowering the...
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Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
Metal implants can heavily attenuate X-rays in computed tomography (CT) scans, leading to severe artifacts in reconstructed images. Several network...
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An Unsupervised Algorithm for Qualitative Coding of Text Data: Artifact Design, Application, and Evaluation
This study presents an artifact for qualitative coding of large volumes of text data using automated text mining techniques. Coding is a critical...
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Exchanging information in cooperative software validation
Cooperative software validation aims at having verification and/or testing tools cooperate on the task of correctness checking. Cooperation involves...
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Quantization Guided JPEG Artifact Correction
The JPEG image compression algorithm is the most popular method of image compression because of it’s ability for large compression ratios. However,...
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Gibbs-ringing artifact suppression with knowledge transfer from natural images to MR images
Gibbs-ringing is a common artifact in magnetic resonance imaging (MRI), which is mainly caused by the finite k -space sampling and the truncation of...
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A Grammatical Approach for Administrative Workflow Design and their Distributed Execution Using Structured and Cooperatively Edited Mobile Artifacts
With the advent of the artifact-centric paradigm, the search for completely decentralized and less complex process execution techniques is regaining...
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Unsupervised Reused Convolutional Network for Metal Artifact Reduction
Nowadays computed tomography (CT) is widely used for medical diagnosis and treatment. However, CT images are often corrupted by undesirable artifacts...
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Discovering Guard Stage Milestone Models Through Hierarchical Clustering
Processes executed on enterprise Information Systems (IS), such as ERP and CMS, are artifact-centric. The execution of these processes is driven by...
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Denoising of motion artifacted MRI scans using conditional generative adversarial network
Patient motion causes image distortion during Magnetic Resonance Imaging (MRI) capture. These distorted motion artifact induced MRI scans are...
