Publications

[Gröhl 2023] Moving beyond simulation: data-driven quantitative photoacoustic imaging using tissue-mimicking phantoms

Accurate measurement of optical absorption coefficients from photoacoustic imaging (PAI) data would enable direct mapping of molecular …

[Schellenberg 2022] Semantic segmentation of multispectral photoacoustic images using deep learning

Photoacoustic (PA) imaging has the potential to revolutionize functional medical imaging in healthcare due to the valuable information …

[Gröhl 2022] The IPASC data format: A consensus data format for photoacoustic imaging

Photoacoustic imaging (PAI) is an emerging modality that has shown promise for improving patient management in a range of applications. …

[Gröhl 2021] Deep learning for biomedical photoacoustic imaging: A review

Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables spatially resolved imaging of optical tissue …

[Nölke 2020] Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging

Multispectral photoacoustic imaging (PAI) is an emerging imaging modality which enables the recovery of functional tissue parameters …

[Bohndiek 2020] IPASC: a Community-Driven Consensus-Based Initiative Towards Standardisation in Photoacoustic Imaging

Photoacoustic Imaging (PAI) is a rapidly emerging imaging modality that is based on the conversion from light into ultrasound. One of …

[Holzwarth 2020] Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern

Purpose: Photoacoustic tomography (PAT) is a novel imaging technique that can spatially resolve both morphological and functional …

[Ayala 2019] Live Monitoring of Haemodynamic Changes with Multispectral Image Analysis

State-of-the-art concepts in the field of computer assisted medical interventions are typically based on registering pre-operative …

[Kirchner 2019] Photoacoustics can image spreading depolarization deep in gyrencephalic brain

Spreading depolarization (SD) is a self-propagating wave of near-complete neuronal depolarization that is abundant in a wide range of …

[Adler 2019] Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks

Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine …

[Kirchner 2019] Photoacoustic monitoring of blood oxygenation during neurosurgical interventions

Multispectral photoacoustic (PA) imaging is a prime modality to monitor hemodynamics and changes in blood oxygenation (sO2). Although …

[Gröhl 2019] Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)

One of the main applications of photoacoustic (PA) imaging is the recovery of functional tissue properties, such as blood oxygenation …

[Gröhl 2018] Confidence Estimation for Machine Learning-Based Quantitative Photoacoustics

In medical applications, the accuracy and robustness of imaging methods are of crucial importance to ensure optimal patient care. While …

[Kirchner 2018] Signed Real-Time Delay Multiply and Sum Beamforming for Multispectral Photoacoustic Imaging

Reconstruction of photoacoustic (PA) images acquired with clinical ultrasound transducers is usually performed using the Delay and Sum …

[Kirchner 2018] Context encoding enables machine learning-based quantitative photoacoustics

Real-time monitoring of functional tissue parameters, such as local blood oxygenation, based on optical imaging could provide …

[Waibel 2018] Reconstruction of initial pressure from limited view photoacoustic images using deep learning

Quantification of tissue properties with photoacoustic (PA) imaging typically requires a highly accurate representation of the initial …

[Gröhl 2018] Confidence estimation for quantitative photoacoustic imaging

Quantification of photoacoustic (PA) images is one of the major challenges currently being addressed in PA research. Tissue properties …

[Gröhl 2017] Quantitative Photoakustische Tomografie durch lokale Kontextkodierung

Photoakustische Tomografie (PAT) ist eine neue strukturelle und funktionale Bildgebung, welche die Darstellung von optischen Absorbern …

[Klemm 2017] MITK-OpenIGTLink for combining open-source toolkits in real-time computer-assisted interventions

Due to rapid developments in the research areas of medical imaging, medical image processing and robotics, computer-assisted …

[Maier-Hein 2016] Crowd-algorithm collaboration for large-scale endoscopic image annotation with confidence

With the recent breakthrough success of machine learning based solutions for automatic image annotation, the availability of reference …

[Gröhl 2015] Einsatz von Smartglasses in der Dermatologie am Beispiel des Malignen Melanoms

Es wird ein Verfahren vorgestellt, welches den Arbeitsablauf bei Hautkrebs-Vorsorgeuntersuchungen in der Dermatologie vereinfachen …