24 citations · 48 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
A complete O(alpha_S^2) calculation of the signal-background interference for the Higgs diphoton decay channel
Daniel de Florian, Nerina Fidanza, R. J. Hernández-Pinto +3
We present the full ${\cal O}(\as^2)$ computation of the interference effects between the Higgs diphoton signal and the continuum background at the LHC. While the main contribution…
Direct observation of magnetocaloric effect by differential thermal analysis: influence of experimental parameters
Yamila Rotstein Habarnau, Pablo Bergamasco, Joaquin Sacanell +3
The magnetocaloric effect is the isothermal change of magnetic entropy and the adiabatic temperature change induced in a magnetic material when an external magnetic field is applie…