11 citations · 11 across the 4 of their papers we have counts for
4 papers
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…
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…
Fast and memory-efficient reconstruction of sparse Poisson data in listmode with non-smooth priors with application to time-of-flight PET
Georg Schramm, Martin Holler
Complete time of flight (TOF) sinograms of state-of-the-art TOF PET scanners have a large memory footprint. Currently, they contain ~4e9 data bins which amount to ~17GB in 32bit fl…
A pointwise characterization of the subdifferential of the total variation functional
K. Bredies, M. Holler
We derive a new pointwise characterization of the subdifferential of the total variation (TV) functional. It involves a full trace operator which maps certain - vectorfield…