Spin-Scaled Range-Separated Double-Hybrid Density Functional Theory for Excited States | Journal of Chemical Theory and Computation
Cost Growth and Quality Benchmarks, and Primary Care Target
Charge-Transfer Excitations within Density Functional Theory: How Accurate Are the Most Recommended Approaches? | Journal of Chemical Theory and Computation
CT protocols and radiation doses for hematuria and urinary stones: Comparing practices in 20 countries - ScienceDirect
Frontiers | COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology - ScienceDirect
2020 MR Benchmark Report
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction | Scientific Data
The summary of the chest CT benchmark datasets. | 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
GitHub - oterobaguer/dip-ct-benchmark: Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods
Charge-Transfer Excitations within Density Functional Theory: How Accurate Are the Most Recommended Approaches? | Journal of Chemical Theory and Computation
CT-guided interventional procedures on SOMATOM go. platform
Cost Growth and Quality Benchmarks, and Primary Care Target
Senior Living Community Near Me | Village at South Farms
Projected cancer risks potentially related to past, current, and future practices in paediatric CT in the United Kingdom, 1990–2020 | British Journal of Cancer
2020 CT Benchmark Report - IMV Medical Information Division
Patient Exposure from Radiologic and Nuclear Medicine Procedures in the United States: Procedure Volume and Effective Dose for the Period 2006–2016 | Radiology
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning – arXiv Vanity
Callahan Begins Benchmark Senior Living Community in Hanover - Callahan Construction Managers
Frontiers | COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning