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researcher

S. Kozerke

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.med-ph2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedDeep variational network for rapid 4D flow MRI reconstruction

78 citations · 106 across the 3 of their papers we have counts for

collaborators

3 papers

physics.med-ph2020★ 28 cited

Improved Segmentation and Detection Sensitivity of Diffusion-Weighted Brain Infarct Lesions with Synthetically Enhanced Deep Learning

Christian Federau, Soren Christensen, Nino Scherrer +7

Purpose: To compare the segmentation and detection performance of a deep learning model trained on a database of human-labelled clinical diffusion-weighted (DW) stroke lesions to a…

physics.med-ph2020

Simulation of Intravoxel Incoherent Perfusion Signal Using a Realistic Capillary Network of a Mouse Brain

Valerie Phi van, Franca Schmid, Georg Spinner +2

Purpose: To simulate the intravoxel incoherent perfusion magnetic resonance magnitude signal from the motion of blood particles in three realistic vascular network graphs from a mo…

eess.IV2020★ 78 cited

Deep variational network for rapid 4D flow MRI reconstruction

Valery Vishnevskiy, Jonas Walheim, Sebastian Kozerke

Phase-contrast magnetic resonance imaging (MRI) provides time-resolved quantification of blood flow dynamics that can aid clinical diagnosis. Long in vivo scan times due to repeate…

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