Results 11 to 20 of about 300,325 (331)
Support Estimation with Sampling Artifacts and Errors [PDF]
2021 IEEE International Symposium on Information Theory (ISIT), 2021 The problem of estimating the support of a distribution is of great importance in many areas of machine learning, computer science, physics and biology. Most of the existing work in this domain has focused on settings that assume perfectly accurate sampling approaches, which is seldom true in practical data science.
Chien, Eli +2 more
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Frontiers in Cardiovascular Medicine, 2021 Background: Measurement of myocardial T1 is increasingly incorporated into standard cardiovascular magnetic resonance (CMR) protocols, however accuracy may be reduced in patients with metallic cardiovascular implants.
Anish N. Bhuva +22 more
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A Novel Method to Resolve Artifact Errors on Retinal Images
International Journal for Research in Applied Science and Engineering Technology, 2017 Anil Kumar
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Sparsity-based method for ring artifact elimination in computed tomography.
PLoS ONE, 2022 Ring artifact elimination is one of the popular problems in computed tomography (CT). It appears in the reconstructed image in the form of bright or dark patterns of concentric circles.
Mona Selim +3 more
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IEEE Access, 2021 In this paper, three easily implemented hardware algorithms, including the adaptive prediction error filter based on the Gram-Schmidt algorithm (GS-APEF), the least mean square adaptive filter and the comb filter, are extensively investigated for ...
Hai-Peng Wang +8 more
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A newly conceived cylinder measuring machine and methods that eliminate the spindle errors [PDF]
, 2012 Advanced manufacturing processes require improving dimensional metrology applications to reach a nanometric accuracy level. Such measurements may be carried out using conventional highly accurate roundness measuring machines.
DAMAK, Mohamed +4 more
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Scientific Reports, 2022 This work attempted to construct a new metal artifact reduction (MAR) framework in kilo-voltage (kV) computed tomography (CT) images by combining (1) deep learning and (2) multi-modal imaging, defined as MARTIAN (Metal Artifact Reduction throughout Two ...
Hojin Kim +6 more
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A point-wise artifact rejection method for estimating transient-evoked otoacoustic emissions and their group delay [PDF]
JASA Express Letters, 2022 Due to its low intensity, measurement of transient-evoked otoacoustic emission (TEOAE) requires repeated stimulation. When any acoustic artifact occurs, an entire click interval is typically abandoned.
Chieh-Hsi Fang, Yi-Wen Liu
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Measurement: Sensors, 2021 In remote health care monitoring applications, continuous brain signal monitoring is a key task. While recording electroencephalogram (EEG) signals in clinical environments various artifacts like respiration artifact (RA), electromyogram (EMG) or electro
Chintalpudi S.L. Prasanna +1 more
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