15 citations · 40 across the 9 of their papers we have counts for
10 papers
Quantitative Parameter Reconstruction from Optical Coherence Tomographic Data
Leopold Veselka, Peter Elbau, Leonidas Mindrinos +2
Quantitative tissue information, like the light scattering properties, is considered as a key player in the detection of cancerous cells in medical diagnosis. A promising method to…
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images
Thomas Schlegl, Heiko Stino, Michael Niederleithner +5
The automatic detection and localization of anatomical features in retinal imaging data are relevant for many aspects. In this work, we follow a data-centric approach to optimize c…
Error mitigation for quantum kernel based machine learning methods on IonQ and IBM quantum computers
Sasan Moradi, Christoph Brandner, Macauley Coggins +3
Kernel methods are the basis of most classical machine learning algorithms such as Gaussian Process (GP) and Support Vector Machine (SVM). Computing kernels using noisy intermediat…
A Quantitative Model for Optical Coherence Tomography
Leopold Veselka, Lisa Krainz, Leonidas Mindrinos +2
Optical coherence tomography (OCT) is a widely used imaging technique in the micrometer regime, which gained accelerating interest in medical imaging in the last twenty years. In u…
Adaptive optics imaging with a pyramid wavefront sensor for visual science
Elisabeth Brunner, Julia Shatokhina, Muhammad Faizan Shirazi +6
The pyramid wavefront sensor (P-WFS) has replaced the Shack-Hartmann (SH-) WFS as sensor of choice for high performance adaptive optics (AO) systems in astronomy because of its fle…
Challenges for Optical Flow Estimates in Elastography
Ekaterina Sherina, Lisa Krainz, Simon Hubmer +2
In this paper, we consider visualization of displacement fields via optical flow methods in elastographic experiments consisting of a static compression of a sample. We propose an…
Multi-channel swept source optical coherence tomography concept based on photonic integrated circuits
Stefan Nevlacsil, Paul Muellner, Alejandro Maese-Novo +7
In this paper, we present a novel concept for a multi-channel swept source optical coherence tomography (OCT) system based on photonic integrated circuits (PICs). At the core of th…
Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography
Ekaterina Sherina, Lisa Krainz, Simon Hubmer +2
In this paper, we consider the problem of estimating the internal displacement field of an object which is being subjected to a deformation, from Optical Coherence Tomography (OCT)…
Non-Equispaced Grid Sampling in Photoacoustics with a Non-Uniform FFT
Julian Schmid, Thomas Glatz, Behrooz Zabihian +3
To obtain the initial pressure from the collected data on a planar sensor arrangement in photoacoustic tomography, there exists an exact analytic frequency domain reconstruction fo…
Computational Realization of a Non-Equidistant Grid Sampling in Photoacoustics with a Non-Uniform FFT
Julian Schmid, Thomas Glatz, Behrooz Zabihian +3
To obtain the initial pressure from the collected data on a planar sensor arrangement in Photoacoustic tomography, there exists an exact analytic frequency domain reconstruction fo…