activity
20192024
most citedSelf-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina

2 citations · 2 across the 5 of their papers we have counts for

collaborators

9 papers

physics.med-ph2024

A Method for Accurate Spatial Focusing Simulation via Numerical Integration and its Application in Optoacoustic Tomography

Maximilian Bader, Philipp Haim, Lukas Imanuel Scheel-Platz +4

The spatial sensitivity of an ultrasound transducer, which strongly influences its suitability for different applications, depends on the shape of the transducer surface. Accurate…

physics.med-ph2022

Enabling the autofocus approach for parameter optimization in planar measurement geometry clinical optoacoustic imaging

Ludwig Englert, Lucas Riobo, Christine Schonemann +2

In optoacoustic (photoacoustic) tomography, several parameters related to tissue and detector features are needed for image formation, but they may not be known a priori. An autofo…

eess.IV20212 cited

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…

eess.IV2021

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…

physics.optics2021

Elongated focus optoacoustic microscopy with matched Bessel beam illumination and ultra-broadband axicon detection

Zakiullah Ali, Christian Zakian, Vasilis Ntziachristos

Current optoacoustic microscopy configurations often have narrow focal ranges that limit their use for fast volumetric imaging applications. Here, the focal range of optoacoustic m…

eess.IV2021

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…