15 citations · 63 across the 9 of their papers we have counts for
9 papers
visClust: A visual clustering algorithm based on orthogonal projections
Anna Breger, Clemens Karner, Martin Ehler
We present a novel clustering algorithm, visClust, that is based on lower dimensional data representations and visual interpretation. Thereto, we design a transformation that allow…
Blood vessel segmentation in en-face OCTA images: a frequency based method
Anna Breger, Felix Goldbach, Bianca S. Gerendas +2
Optical coherence tomography angiography (OCTA) is a novel noninvasive imaging modality for visualization of retinal blood flow in the human retina. Using specific OCTA imaging bio…
On the reconstruction accuracy of multi-coil MRI with orthogonal projections
Anna Breger, Gabriel Ramos Llorden, Gonzalo Vegas Sanchez - Ferrero +3
MRI signal acquisition with multiple coils in a phased array is nowadays commonplace. The use of multiple receiver coils increases the signal-to-noise ratio (SNR) and enables accel…
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans
José Ignacio Orlando, Anna Breger, Hrvoje Bogunović +4
Segmenting anatomical structures such as the photoreceptor layer in retinal optical coherence tomography (OCT) scans is challenging in pathological scenarios. Supervised deep learn…
Improving Machine Hearing on Limited Data Sets
Pavol Harar, Roswitha Bammer, Anna Breger +2
Convolutional neural network (CNN) architectures have originated and revolutionized machine learning for images. In order to take advantage of CNNs in predictive modeling with audi…
On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problems
Anna Breger, Jose Ignacio Orlando, Pavol Harar +6
The use of orthogonal projections on high-dimensional input and target data in learning frameworks is studied. First, we investigate the relations between two standard objectives i…
Cubatures on Grassmannians: moments, dimension reduction, and related topics
Anna Breger, Martin Ehler, Manuel Graef +1
We briefly explain the use of cubature points on Grassmannians in numerical analysis.
Points on manifolds with asymptotically optimal covering radius
Anna Breger, Martin Ehler, Manuel Graef
Given a finite set of points on the Euclidean sphere, the worst case quadrature error in Sobolev spaces has recently been shown to provide upper bounds on the covering radius of th…
Quasi Monte Carlo integration and kernel-based function approximation on Grassmannians
Anna Breger, Martin Ehler, Manuel Graef
Numerical integration and function approximation on compact Riemannian manifolds based on eigenfunctions of the Laplace-Beltrami operator have been widely studied in the recent lit…