activity
20182021
most citedRetrospective Motion Correction of MR Images using Prior-Assisted Deep Learning

7 citations · 7 across the 2 of their papers we have counts for

collaborators

5 papers

eess.IV2021

ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald +7

Diffusion-weighted magnetic resonance imaging (DW-MRI) can be used to characterise the microstructure of the nervous tissue, e.g. to delineate brain white matter connections in a n…

eess.IV20207 cited

Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald +3

In MRI, motion artefacts are among the most common types of artefacts. They can degrade images and render them unusable for accurate diagnosis. Traditional methods, such as prospec…

hep-lat2020

Deconfinement critical point of lattice QCD with Wilson fermions

Francesca Cuteri, Owe Philipsen, Alena Schön +1

The pure gauge theory exhibits a first-order thermal deconfinement transition due to spontaneous breaking of its global center symmetry. When heavy dynamical qu…

hep-lat2019

Finite size and cut-off effects on the Roberge-Weiss transition in QCD with Staggered fermions

Owe Philipsen, Alessandro Sciarra

In the absence of a genuine solution to the sign problem, lattice studies at imaginary quark chemical potential are an important tool to constrain the QCD phase diagram. We calcula…

hep-lat2018

Progress on the nature of the QCD thermal transition as a function of quark flavors and masses

Francesca Cuteri, Owe Philipsen, Alessandro Sciarra

We investigate to which extent we can exploit the dependence of the order of the chiral transition on the number of light degenerate flavors , re-interpreted as continu…