256 citations · 560 across the 15 of their papers we have counts for
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Bayesian reconstruction of sparse raster-scanned mid-infrared optoacoustic signals enables fast, label-free chemical microscopy
Constantin Berger, Myeongseop Kim, Lukas Scheel-Platz +3
Hyperspectral optoacoustic microscopy (OAM) enables obtaining images with label-free biomolecular contrast, offering excellent perspectives as a diagnostic tool to assess freshly e…
Spotlight on nerves: Portable multispectral optoacoustic imaging of peripheral nerve vascularization and morphology
Dominik Jüstel, Hedwig Irl, Florian Hinterwimmer +5
Various morphological and functional parameters of peripheral nerves and their vascular supply are indicative of pathological changes due to injury or disease. Based on recent impr…
DeepMB: Deep neural network for real-time optoacoustic image reconstruction with adjustable speed of sound
Christoph Dehner, Guillaume Zahnd, Vasilis Ntziachristos +1
Multispectral optoacoustic tomography (MSOT) is a high-resolution functional imaging modality that can non-invasively access a broad range of pathophysiological phenomena by quanti…
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
Jan Kukačka, Anja Zenz, Marcel Kollovieh +2
Fundus photography is the primary method for retinal imaging and essential for diabetic retinopathy prevention. Automated segmentation of fundus photographs would improve the quali…
Disentangling the frequency content in optoacoustics
Antonia Longo, Dominik Jüstel, Vasilis Ntziachristos
Signals acquired by optoacoustic tomography systems have broadband frequency content that encodes information about structures on different physical scales. Concurrent processing a…
Deep learning based electrical noise removal enables high spectral optoacoustic contrast in deep tissue
Christoph Dehner, Ivan Olefir, Kaushik Basak Chowdhury +2
Image contrast in multispectral optoacoustic tomography (MSOT) can be severely reduced by electrical noise and interference in the acquired optoacoustic signals. Signal processing…
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
Stefan Gerl, Johannes C. Paetzold, Hailong He +7
Raster-scan optoacoustic mesoscopy (RSOM) is a powerful, non-invasive optical imaging technique for functional, anatomical, and molecular skin and tissue analysis. However, both th…