4 papers
An algorithm for a constrained P-spline
Rosanna Campagna, Serena Crisci, Gabriele Santin +2
Regression splines are largely used to investigate and predict data behavior, attracting the interest of mathematicians for their beautiful numerical properties, and of statisticia…
Bilevel learning of regularization models and their discretization for image deblurring and super-resolution
Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi +6
Bilevel learning is a powerful optimization technique that has extensively been employed in recent years to bridge the world of model-driven variational approaches with data-driven…
Measurement of fundamental physical quantities in the framework of the Lab2Go project
F. Casaburo, N. Marcelli, M. Sorbara +23
To establish a closer contact between school and experimental sciences, Sapienza Università di Roma and the Istituto Nazionale di Fisica Nucleare (INFN) launched the Lab2Go project…
Computational approaches for parametric imaging of dynamic PET data
Serena Crisci, Michele Piana, Valeria Ruggiero +1
Parametric imaging of nuclear medicine data exploits dynamic functional images in order to reconstruct maps of kinetic parameters related to the metabolism of a specific tracer inj…