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2020 MR Benchmark Report
Deep learning for COVID-19 detection based on CT images | Scientific Reports
Charge-Transfer Excitations within Density Functional Theory: How Accurate Are the Most Recommended Approaches? | Journal of Chemical Theory and Computation
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology - ScienceDirect
Frontiers | COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning
LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction | Scientific Data
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Charge-Transfer Excitations within Density Functional Theory: How Accurate Are the Most Recommended Approaches? | Journal of Chemical Theory and Computation
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning – arXiv Vanity
2020 CT Benchmark Report - IMV Medical Information Division
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LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction | Scientific Data
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Effect of intravenous contrast for CT abdomen and pelvis on detection of urgent and non-urgent pathology: can repeat CT within 72 hours be avoided? | SpringerLink
CT protocols and radiation doses for hematuria and urinary stones: Comparing practices in 20 countries - ScienceDirect
Cost Growth and Quality Benchmarks, and Primary Care Target
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Ct threshold values, a proxy for viral load in community SARS-CoV-2 cases, demonstrate wide variation across populations and over time | eLife