Later on, Efron et al. [ 37] introduced a method for bias correction to estimate more accurate p-values for topological inference through a correction based on first-order p-values.
The computations results suggest that the use of the 3-21G baset set concomitantly with a method for BSSE correction represents a good compromise between theory level and computation time for the successful screening of functional monomers.
In conclusion, in this work, we developed a method for PVE correction tailored for clinical application to PET-CT oncological studies.
The aim of this work was the development of a method for PVE correction tailored for clinical application to PET-CT oncological studies.
We have developed, implemented, and assessed a method for PVE correction of oncological lesions in PET clinical studies, based on RC factors and PET L/ B m and PET measured lesion metabolic volume.
In this work, we have presented a method for the correction of axial artifacts using thin-plates splines that estimate the distortions along the fast and slow scanning axes in OCT retinal scans.
A novel method for correction of unknown unspecific (additive) interferences was developed in sequential injection analysis (SIA) using a Lab on Valve module (LOV) with spectrophotometric detection.
In the present work, we propose a generic method for correction of scan time variability effects on SUR (and SUV) which is based on observation and utilization of the specific shape invariance of FDG input functions and the consequences following from it when analyzing the Patlak equation.
