Deep learning for COVID-19 detection based on CT images | Scientific Reports
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GitHub - oterobaguer/dip-ct-benchmark: Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods
SOMATOM X.ceed with myExam Companion - Siemens Healthineers USA
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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
The summary of the chest CT benchmark datasets. | Download Scientific Diagram
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology - ScienceDirect
Charge-Transfer Excitations within Density Functional Theory: How Accurate Are the Most Recommended Approaches? | Journal of Chemical Theory and Computation
LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction | Scientific Data
Projected cancer risks potentially related to past, current, and future practices in paediatric CT in the United Kingdom, 1990–2020 | British Journal of Cancer
Processes | Free Full-Text | A Novel Evolutionary Arithmetic Optimization Algorithm for Multilevel Thresholding Segmentation of COVID-19 CT Images
2020 MR Benchmark Report
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Example CT images from the COVIDx CT-2 benchmark datasets from each... | Download Scientific Diagram
Charge-Transfer Excitations within Density Functional Theory: How Accurate Are the Most Recommended Approaches? | Journal of Chemical Theory and Computation
Ct threshold values, a proxy for viral load in community SARS-CoV-2 cases, demonstrate wide variation across populations and over time | eLife
