5 papers
NGSE-Corr: A technique for objective clinical evaluation of quantitative-imaging methods without a gold standard
Yan Liu, Ziping Liu, Zekun Li +4
Objective evaluation of quantitative-imaging (QI) methods based on how reliably they measure true values is important for clinical translation. Performing such evaluation with pati…
Extending Regression Without Truth to Integrate Ground-Truth Measurements for Evaluating Quantitative Imaging Methods with Patient Data
Yan Liu, Abhinav K. Jha
Objective evaluation of quantitative imaging (QI) methods with patient data is often hindered by the lack of gold standards. To address this challenge, a class of regression-withou…
Comparing evaluation of quantitative imaging methods using reference standards vs. regression-without-truth-based technique
Yan Liu, Abhinav K. Jha
Clinical translation of quantitative imaging (QI) methods requires objective evaluation of these methods on reliably measuring the underlying true quantitative values. Ideally, suc…
What is Implementation Science; and Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging
Ahmad Fayaz-Bakhsh, Janice Tania, Syaheerah Lebai Lutfi +2
The transformative potential of artificial intelligence (AI) in medical Imaging (MI) is well recognized. Yet despite promising reports in research settings, many AI tools fail to a…
Objective Task-based Evaluation of Quantitative Medical Imaging Methods: Emerging Frameworks and Future Directions
Yan Liu, Huitian Xia, Nancy A. Obuchowski +4
Quantitative imaging (QI) is demonstrating strong promise across multiple clinical applications. For clinical translation of QI methods, objective evaluation on clinically relevant…