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Fully automated deep learning FDG uptake classification enables Total Metabolic Tumor Volume (MTV) estimation in diffuse large B-cell lymphoma with similar predictive value as expert MTV measurements
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Low dose brain PET imaging enabled by marker-based tracking of head motion and list mode reconstruction.
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Lesion-Preserving Spatially Adaptive Non-Local Means Post-Filter for Whole-Body PET Imaging
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A simplified brain-shaped phantom to evaluate O-15 image quality of digital photon counting PET-CT
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Voxel-based analysis facilitates the identification of robust machine-learning based models for tumor classification
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Image texture analysis quantification of concentric ring artifacts in quality assurance scans
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Effect of Reconstruction Settings on PET-Derived Dose-Volume-Histograms after SIRT of the Liver
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