most citedUncertainty-aware performance assessment of optical imaging modalities with invertible neural networks

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

collaborators

5 papers

physics.med-ph2021

Quantitative photoacoustic oximetry imaging by multiple illumination learned spectral decoloring

Thomas Kirchner, Martin Frenz

Significance: Quantitative measurement of blood oxygen saturation (sO) with photoacoustic (PA) imaging is one of the most sought after goals of quantitative PA imaging research…

physics.med-ph20197 cited

Photoacoustic monitoring of blood oxygenation during neurosurgical interventions

Thomas Kirchner, Janek Gröhl, Niklas Holzwarth +5

Multispectral photoacoustic (PA) imaging is a prime modality to monitor hemodynamics and changes in blood oxygenation (sO2). Although sO2 changes can be an indicator of brain activ…

physics.med-ph201930 cited

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks

Tim J. Adler, Lynton Ardizzone, Anant Vemuri +8

Purpose: Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to addres…

physics.med-ph2019

An open-source software platform for translational photoacoustic research and its application to motion-corrected blood oxygenation estimation

Thomas Kirchner, Janek Gröhl, Franz Sattler +4

Photoacoustic (PA) imaging systems based on clinical linear ultrasound arrays have become increasingly popular in translational PA research. Such systems can be more easily integra…

physics.med-ph2019

Photoacoustics can image spreading depolarization deep in gyrencephalic brain

Thomas Kirchner, Janek Gröhl, Mildred Herrera +4

Spreading depolarization (SD) is a self-propagating wave of near-complete neuronal depolarization that is abundant in a wide range of neurological conditions, including stroke. SD…