3 papers
math.OC2025
Exact Parameter Identification in PET Pharmacokinetic Modeling: Extension to the Reversible Two Tissue Compartment Model
Martin Holler, Erion Morina, Georg Schramm
This paper addresses the problem of recovering tracer kinetic parameters from multi-region measurement data in quantitative PET imaging using the reversible two tissue compartment…
cs.LG2024
On the growth of the parameters of approximating ReLU neural networks
Erion Morina, Martin Holler
This work focuses on the analysis of fully connected feed forward ReLU neural networks as they approximate a given, smooth function. In contrast to conventionally studied universal…
math.OC2023
Exact Parameter Identification in PET Pharmacokinetic Modeling Using the Irreversible Two Tissue Compartment Model
Martin Holler, Erion Morina, Georg Schramm
This work is concerned with the identifiability of metabolic parameters from multi-region measurement data in quantitative PET imaging. It shows that, for the frequently used two-t…