Imager Noise and Noise Attenuation During fMRI
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Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging. [PDF]
EBioMedicine, 2020 Roy S +7 more
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Spatial nonstationarity of image noise in widefield optical imaging and its effects on cluster-based inference for resting-state functional connectivity. [PDF]
J Neurosci MethodsWhite BR +4 more
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Towards guidelines to harmonize textural features in PET: Haralick textural features vary with image noise, but exposure-invariant domains enable comparable PET radiomics. [PDF]
PLoS One, 2020 Prenosil GA +7 more
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Pixelwise Estimation of Signal-Dependent Image Noise Using Deep Residual Learning. [PDF]
Comput Intell Neurosci, 2019 Tan H, Xiao H, Lai S, Liu Y, Zhang M.
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Fat volume measurements as a predictor of image noise in coronary computed tomography angiography. [PDF]
J Saudi Heart Assoc, 2019 Abazid RM +8 more
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Influence of deep learning image reconstruction algorithm for reducing radiation dose and image noise compared to iterative reconstruction and filtered back projection for head and chest computed tomography examinations: a systematic review. [PDF]
F1000ResChandran M O +5 more
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Image Noise Covariance Can be Adjusted by a Noise Weighted Filtered Backprojection Algorithm. [PDF]
IEEE Trans Radiat Plasma Med Sci, 2019 Zeng GL.
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Evaluation of three-dimensional iterative image reconstruction in virtual monochromatic imaging at 40 kilo-electron volts: phantom and clinical studies to assess the image noise and image quality in comparison with other reconstruction techniques. [PDF]
Br J Radiol, 2020 Ishikawa T +6 more
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