
Anna Breger is a senior postdoctoral researcher in the Cambridge Image Analysis Group at the DAMTP, University of Cambridge (UK) and a member of the global COVID-19 AIX-COVNET collaboration where she is focusing on research with X-Ray data. Moreover, she is holding the prestigious Hertha Firnberg fellowship funded by the Austrian Science Fund. With that she is leading the research project iDeal based at the Medical University of Vienna, focusing on image data visualisation and evaluation.
Her current main interests are applications of mathematical image processing in medical problems and beyond, including research on data representations, dimension reduction and image quality assessment.
Publications
Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning.
– Sci Rep
(2020)
10,
5619
(doi: 10.1038/s41598-020-62329-9)
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems
– Journal of Mathematical Imaging and Vision
(2019)
62,
376
(doi: 10.1007/s10851-019-00902-2)
Supervised learning and dimension reduction techniques for quantification of retinal fluid in optical coherence tomography images
– Eye
(2017)
31,
1212
(doi: 10.1038/eye.2017.61)
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