19 citations · 19 across the 2 of their papers we have counts for
3 papers
eess.IV2025
Maintaining SUV Accuracy in Low-Count PET with PETfectior: A Deep Learning Denoising Solution
Yamila Rotstein Habarnau, Nicolás Bustos, Paola Corona +8
Background: Diagnostic PET image quality depends on the administered activity and acquisition time. However, minimizing these variables is desirable to reduce patient radiation exp…
eess.IV2023
A mirror-Unet architecture for PET/CT lesion segmentation
Yamila Rotstein Habarnau, Mauro Namías
Automatic lesion detection and segmentation from [F]FDG PET/CT scans is a challenging task, due to the diversity of shapes, sizes, FDG uptake and location they may present…
hep-ph2016★ 19 cited
Towards semi-inclusive deep inelastic scattering at next-to-next-to-leading order
Daniele Anderle, Daniel de Florian, Yamila Rotstein Habarnau
In this paper, we compute the first set of corrections to semi-inclusive deep inelastic scattering structure functions. We start by studying the impact of the con…