Book Chapters
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A. Breger, M. Ehler, M. Gräf, T. Peter
Cubatures on Grassmannians: moments, dimension reduction, and related topics, arXiv:1705.02978
Compressed Sensing and its Applications: MATHEON Workshop 2015 (Applied and Numerical Harmonic Analysis), 2017
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A. Breger, M. Ehler and M.Gräf
Quasi Monte Carlo integration and kernel-based function approximation on Grassmannians, arXiv:1605.09165
Frames and Other Bases in Abstract and Function Spaces, Applied and Numerical Harmonic Analysis series (ANHA, Birkhauser/Springer), 2017.
Peer-reviewed
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A.Breger, G. Ramos Llorden, G. Vegas Sanchez - Ferrero, W. S. Hoge, M. Ehler, C.-F. Westin
Orthogonal projections for image quality analyses applied to MRI
Accepted to appear in Proceedings in Applied Mathematics and Mechanics, 2020
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F. Zhang, A.Breger, L.Ning, C.-F. Westin, L. J. O'Donnell, and O. Pasternak
Deep Learning Based Brain Tissue Segmentation of Diffusion MRI from Novel Diffusion Kurtosis Imaging Features biorxiv
Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), 2020
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J.I. Orlando, B.S. Gerendas, S. Klimscha, C. Grechenig, A. Breger, M. Ehler, S.M. Waldstein, H. Bogunovic, U. Schmidt-Erfurth
Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning Nature Scientific Reports
Scientific Reports vol. 10, 2020
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A. Breger, J. I. Orlando, P. Harar, M. Doerfler, S. Klimscha, C. Grechenig, B. S. Gerendas, U. Schmidt-Erfurth, and M. Ehler
On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problems Springer JMIV
Journal of Mathematical Imaging and Vision (JMIV), vol 62, 2020
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A. Breger, J. I. Orlando, H. Bogunović, S. Riedl, B. S. Gerendas, M. Ehler, U. Schmidt-Erfurth
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans, arXiv:1908.00764
Springer Lecture Notes in Computer Science (MICCAI), 2019
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P. Harar, R. Bammer, A. Breger, M. Doerfler, Z. Smekal
Improving Machine Hearing on Limited Data Sets
11th ICUMT congress (Dublin), 2019 arxiv:1903.08950
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A. Breger, M. Ehler and M.Gräf
Points on manifolds with asymptotically optimal covering radius, arxiv:1607.06899
Journal of Complexity, 2018
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A. Breger, M. Ehler, H. Bogunovic, S.M. Waldstein, A. Philip, U. Schmidt-Erfurth, B.S. Gerendas
Supervised learning and dimension reduction techniques for quantification of retinal fluid in optical coherence tomography images, Epub
Eye (Springer Nature), 2017
Preprints
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A.Breger, G. Ramos Llorden, G. Vegas Sanchez - Ferrero, W. S. Hoge, M. Ehler, C.-F. Westin
On the reconstruction accuracy of multi-coil MRI with orthogonal projections, arXiv:1910.13422
2019
Other
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A. Breger
On image segmentation and applications in clinical retinal analysis.
Master's thesis, University of Vienna, 2015. E-Thesis