D. Origgi

most citedA multicenter study on radiomic features from T

_{2}

-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics

5 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022★ 1 cited

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models

Matteo Ferrante, Lisa Rinaldi, Francesca Botta +17

Lesion segmentation is a crucial step of the radiomic workflow. Manual segmentation requires long execution time and is prone to variability, impairing the realisation of radiomic…

eess.IV2020★ 5 cited

A multicenter study on radiomic features from T $_{2}$ -weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics

Linda Bianchini, Joao Santinha, Nuno Loução +7

In this study we investigated the repeatability and reproducibility of radiomic features extracted from MRI images and provide a workflow to identify robust features. 2D and 3D T$_…

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models

A multicenter study on radiomic features from T2​-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics

A multicenter study on radiomic features from T $_{2}$ -weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics