activity
20172023
most citedEstimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)

74 citations · 187 across the 10 of their papers we have counts for

collaborators

10 papers

physics.med-ph2023★ 16 cited

Evaluation of ultrasound sensors for transcranial photoacoustic sensing and imaging

Thomas Kirchner, Claus Villringer, Jan Laufer

Biomedical photoacoustic (PA) imaging is typically used to exploit absorption-based contrast in soft tissue at depths of several centimeters. When it is applied to measuring PA wav…

physics.med-ph2022★ 1 cited

A micro-CT of a human skull

Thomas Kirchner

This is a data descriptor for an X-ray microtomography of a human skull.

physics.med-ph2022

Machine learning enabled multiple illumination quantitative optoacoustic imaging of blood oxygenation in humans

Thomas Kirchner, Michael Jaeger, Martin Frenz

Optoacoustic (OA) imaging is a promising modality for quantifying blood oxygen saturation (sO) in various biomedical applications - in diagnosis, monitoring of organ function o…

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-ph2019★ 7 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-ph2019★ 30 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…