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Faculty of Mathematics

 

Dr Anna Breger

Anna Breger is an Assistant Research Professor in the Cambridge Image Analysis Group at the DAMTP, University of Cambridge (UK) and a member of the AI for cultural heritage hub (ArCH) Cambridge. She is leading the research project Non-invasive imaging and machine learning techniques for the reconstruction of degraded historical sheet music in collaboration with the cultural heritage imaging laboratory (CHIL) at the University Library, the Fitzwilliam museum and the Gonville & Caius library in Cambridge, aiming to reconstruct/transcribe lost historical music notation in degraded manuscripts. 

Previously, she had been a member of the global AIX-COVNET collaboration working with medical images obtained during the covid-19 pandemic and from 2022-2025 she held the prestigious Hertha Firnberg fellowship funded by the Austrian Science Fund, leading a research project on image quality asssessment for applications with medical images.

 

Publications

Shortcut Learning: Reduced But Not Resolved
IA Selby, M Roberts, A Breger, JHF Rudd, JR Weir-McCall
– Radiology
(2023)
308,
e230379
(doi: 10.1148/radiol.230379)
A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data.
A Breger, I Selby, M Roberts, J Babar, E Gkrania-Klotsas, J Preller, L Escudero Sanchez, J Rudd, J Aston, J Weir-McCall, E Sala, C Schoenlieb
– Scientific Data
(2023)
10,
493
(doi: 10.1038/s41597-023-02340-7)
Navigating the development challenges in creating complex data systems.
S Dittmer, M Roberts, J Gilbey, A Biguri, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
– Nat. Mac. Intell.
(2023)
5,
681
(doi: 10.1038/s42256-023-00665-x)
Deep learning based segmentation of brain tissue from diffusion MRI
F Zhang, A Breger, KIK Cho, L Ning, C-F Westin, LJ O'Donnell, O Pasternak
– NeuroImage
(2021)
233,
117934
(doi: 10.1016/j.neuroimage.2021.117934)
Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning.
JI Orlando, BS Gerendas, S Riedl, C Grechenig, A Breger, M Ehler, SM Waldstein, H Bogunović, U Schmidt-Erfurth
– Sci Rep
(2020)
10,
5619
(doi: 10.1038/s41598-020-62329-9)
On Orthogonal Projections for Dimension Reduction and Applications in Variational Loss Function for Learning Problems
A Breger, JI Orlando, P Harar, M Dörfler, S Klimscha, C Grechenig, BS Gerendas, U Schmidt-Erfurth, M Ehler
– 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.
A Breger, M Ehler, H Bogunovic, SM Waldstein, A-M Philip, U Schmidt-Erfurth, BS Gerendas
– Eye (London, England)
(2017)
31,
1212
(doi: 10.1038/eye.2017.61)
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Research Group

Cambridge Image Analysis

Email

ab2864@cam.ac.uk

Room

F2.05

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