All Outputs (2)

The impact of uncertainty estimation on radiomic segmentation reproducibility and scan–rescan repeatability in kidney MRI (2025)
Journal Article
Damiano, R., Lanzarone, E., Lussana, F., Villa, G., Daniel, A. J., Francis, S., Caroli, A., & Scalco, E. (2025). The impact of uncertainty estimation on radiomic segmentation reproducibility and scan–rescan repeatability in kidney MRI. Medical Physics, 52(7), Article e17995. https://doi.org/10.1002/mp.17995

Background: Radiomics holds great potential but is hindered by segmentation and scan-rescan variability, which affect the reproducibility and repeatability of radiomic analysis, respectively. Recently, deep learning (DL) has shown promise in improv-... Read More about The impact of uncertainty estimation on radiomic segmentation reproducibility and scan–rescan repeatability in kidney MRI.

Improvements in Between-Vendor MRI Harmonization of Renal T2 Mapping using Stimulated Echo Compensation (2024)
Journal Article
Li, H., Daniel, A. J., Buchanan, C. E., Nery, F., Morris, D. M., Li, S., Huang, Y., Sousa, J. A., Sourbron, S., Mendichovszky, I. A., Thomas, D. L., Priest, A. N., & Francis, S. T. (2024). Improvements in Between-Vendor MRI Harmonization of Renal T2 Mapping using Stimulated Echo Compensation. Journal of Magnetic Resonance Imaging, 60(5), 2144-2155. https://doi.org/10.1002/jmri.29282

Background: T2 mapping is valuable to evaluate pathophysiology in kidney disease. However, variations in T2 relaxation time measurements across MR scanners and vendors may occur requiring additional correction. Purpose: To harmonize renal T2 measurem... Read More about Improvements in Between-Vendor MRI Harmonization of Renal T2 Mapping using Stimulated Echo Compensation.