activity
20192025
most citedDeep learning for biomedical photoacoustic imaging: A review

250 citations · 261 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2025

Digital twins enable full-reference quality assessment of photoacoustic image reconstructions

Janek Gröhl, Leonid Kunyansky, Jenni Poimala +5

Quantitative comparison of the quality of photoacoustic image reconstruction algorithms remains a major challenge. No-reference image quality measures are often inadequate, but ful…

physics.med-ph2025

Artifacts in Photoacoustic Imaging: Origins and Mitigations

Max T. Rietberg, Janek Gröhl, Thomas R. Else +3

Photoacoustic imaging (PAI) is rapidly moving from the laboratory to the clinic, increasing the need to understand confounders which might adversely affect patient care. Over the p…

eess.IV2024★ 4 cited

Parameter choices in HaarPSI for IQA with medical images

Clemens Karner, Janek Gröhl, Ian Selby +11

When developing machine learning models, image quality assessment (IQA) measures are a crucial component for the evaluation of obtained output images. However, commonly used full-r…

physics.med-ph2020★ 250 cited

Deep learning for biomedical photoacoustic imaging: A review

Janek Gröhl, Melanie Schellenberg, Kris Dreher +1

Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables spatially resolved imaging of optical tissue properties up to several centimeters deep in tissue,…

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…