4 citations · 6 across the 4 of their papers we have counts for
4 papers
Efficient Deep Model-Based Optoacoustic Image Reconstruction
Christoph Dehner, Guillaume Zahnd
Clinical adoption of multispectral optoacoustic tomography necessitates improvements of the image quality available in real-time, as well as a reduction in the scanner financial co…
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…
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…