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Research Article Simple Parameters from Complete Blood Count Predict In-Hospital Mortality in COVID-19, , , , , , , , , and 1 other author(s). (2021)Power estimation for non-standardized multisite studies., , , , , , , , , and 46 other author(s). NeuroImage, (2016)A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort., , , , , , , , , and . J. Medical Syst., 45 (3): 28 (2021)Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0., , , , , , , , , and 36 other author(s). Comput. Biol. Medicine, (2022)Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels., , , , , , , , , and 18 other author(s). IEEE J. Biomed. Health Informatics, 24 (12): 3529-3538 (2020)Acceptance Test of a Commercially Available Software for Automatic Image Registration of Computed Tomography (CT), Magnetic Resonance Imaging (MRI) And 99mTc-methoxyisobutylisonitrile (MIBI) Single-Photon Emission Computed Tomography (SPECT) Brain Images., , , , , , , and . J. Digit. Imaging, 21 (3): 329-337 (2008)COVID-19 CT Scan Lung Segmentation: How We Do It., , , , , , and . J. Digit. Imaging, 35 (3): 424-431 (2022)Integrative analysis for COVID-19 patient outcome prediction., , , , , , , , , and 6 other author(s). Medical Image Anal., (2021)Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs., , , , , , , , , and 13 other author(s). Int. J. Comput. Assist. Radiol. Surg., 16 (3): 423-434 (2021)Integrative Analysis for COVID-19 Patient Outcome Prediction., , , , , , , , , and 6 other author(s). CoRR, (2020)