Book Chapters

  • 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

  • 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

  • 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
    accepted to appear in Proceedings of ISMRM, 2020

  • 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
    accepted to appear in Scientific Reports, 2020

  • 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 (2019), SpringerLink
    Journal of Mathematical Imaging and Vision (JMIV), 2019

  • 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

  • P. Harar, R. Bammer, A. Breger, M. Doerfler, Z. Smekal
    Improving Machine Hearing on Limited Data Sets (2019)
    11th ICUMT congress (Dublin), 2019 arxiv:1903.08950

  • A. Breger, M. Ehler and M.Gräf
    Points on manifolds with asymptotically optimal covering radius, arxiv:1607.06899
    Journal of Complexity, 2018

  • 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

  • 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

  • A. Breger
    On image segmentation and applications in clinical retinal analysis.
    Master's thesis, University of Vienna, 2015. E-Thesis