Nicholas B. Larson

Apr 10, 2024 | ajnr.org | Ian Mark |Nicholas B. Larson

ABSTRACTBACKGROUND AND PURPOSE: Feature variability in radiomics studies due to technical and magnet strength parameters is well known and may be addressed through various pre-processing methods. However, very few studies have evaluated downstream impact of variable pre-processing on model classification performance in a multi-class setting. We sought to evaluate the impact of SUSAN denoising and ComBat harmonization on model classification performance.

Aug 1, 2023 | frontiersin.org | Booz Allen Hamilton |Yuriy L. Orlov |Nicholas B. Larson |Eaaswarkhanth Muthukrishnan

Sinead Cullina1,2 Genevieve L. Wojcik3 Ruhollah Shemirani1 Derek Klarin4,5 Bryan R. Gorman6,7 Elena P. Sorokin8† Christopher R. Gignoux9,10,11 Gillian M. Belbin1,12 Saiju Pyarajan6,13 Samira Asgari1,2 Philip S. Tsao4 Scott M. Damrauer14,15,16 Noura S. Abul-Husn1,17† Eimear E.