activity
20182021
most citedMulti-modal Deep Guided Filtering for Comprehensible Medical Image Processing

31 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2021★ 1 cited

Noise and dose reduction in CT brain perfusion acquisition by projecting time attenuation curves onto lower dimensional spaces

Vojtěch Kulvait, Philip Hoelter, Arnd Doerfler +1

CT perfusion imaging (CTP) plays an important role in decision making for the treatment of acute ischemic stroke with large vessel occlusion. Since the CT perfusion scan time is ap…

physics.med-ph2021★ 5 cited

A novel use of time separation technique to improve flat detector CT perfusion imaging in stroke patients

Vojtěch Kulvait, Philip Hoelter, Robert Frysch +3

CT perfusion imaging (CTP) is used in the diagnostic workup of acute ischemic stroke (AIS). CTP may be performed within the angio suite using flat detector CT (FDCT) to help reduce…

eess.IV2019

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging

Bernhard Stimpel, Christopher Syben, Tobias Würfl +4

Hybrid X-ray and magnetic resonance (MR) imaging promises large potential in interventional medical imaging applications due to the broad variety of contrast of MRI combined with f…

eess.IV2019★ 31 cited

Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing

Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher +3

Deep learning-based image processing is capable of creating highly appealing results. However, it is still widely considered as a "blackbox" transformation. In medical imaging, thi…

cs.CV2018

Temporal and volumetric denoising via quantile sparse image prior

Franziska Schirrmacher, Thomas Köhler, Tobias Lindenberger +7

This paper introduces an universal and structure-preserving regularization term, called quantile sparse image (QuaSI) prior. The prior is suitable for denoising images from various…