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Anna Breger
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2020 – today
- 2024
- [j6]Anna Breger, Clemens Karner, Martin Ehler:
visClust: A visual clustering algorithm based on orthogonal projections. Pattern Recognit. 148: 110136 (2024) - [c4]Panagiotis Fytas, Anna Breger, Ian Selby, Simon Baker, Shahab Shahipasand, Anna Korhonen:
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology. BioNLP@ACL 2024: 212-235 - [i10]Anna Breger, Ander Biguri, Malena Sabaté Landman, Ian Selby, Nicole Amberg, Elisabeth Brunner, Janek Gröhl, Sepideh Hatamikia, Clemens Karner, Lipeng Ning, Sören Dittmer, Michael Roberts, AIX-COVNET Collaboration, Carola-Bibiane Schönlieb:
A study of why we need to reassess full reference image quality assessment with medical images. CoRR abs/2405.19097 (2024) - [i9]Anna Breger, Clemens Karner, Ian Selby, Janek Gröhl, Sören Dittmer, Edward Lilley, Judith Babar, Jake Beckford, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, Carola-Bibiane Schönlieb:
A study on the adequacy of common IQA measures for medical images. CoRR abs/2405.19224 (2024) - [i8]Panagiotis Fytas, Anna Breger, Ian Selby, Simon Baker, Shahab Shahipasand, Anna Korhonen:
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology. CoRR abs/2408.04121 (2024) - [i7]Clemens Karner, Janek Gröhl, Ian Selby, Judith Babar, Jake Beckford, Thomas R. Else, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, James H. F. Rudd, Carola-Bibiane Schönlieb, Jonathan R. Weir-McCall, Anna Breger:
Parameter choices in HaarPSI for IQA with medical images. CoRR abs/2410.24098 (2024) - 2023
- [j5]Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5(7): 681-686 (2023) - 2022
- [c3]Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler:
Blood vessel segmentation in en-face OCTA images: a frequency based method. Computer-Aided Diagnosis 2022 - [i6]Anna Breger, Clemens Karner, Martin Ehler:
visClust: A visual clustering algorithm based on orthogonal projections. CoRR abs/2211.03894 (2022) - 2021
- [j4]Fan Zhang, Anna Breger, Kang Ik Kevin Cho, Lipeng Ning, Carl-Fredrik Westin, Lauren J. O'Donnell, Ofer Pasternak:
Deep learning based segmentation of brain tissue from diffusion MRI. NeuroImage 233: 117934 (2021) - [i5]Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler:
Blood vessel segmentation in en-face OCTA images: a frequency based method. CoRR abs/2109.06116 (2021) - 2020
- [j3]Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler:
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62(3): 376-394 (2020) - [j2]Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler:
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62(3): 395 (2020)
2010 – 2019
- 2019
- [c2]Pavol Harár, Roswitha Bammer, Anna Breger, Monika Dörfler, Zdenek Smékal:
Improving Machine Hearing on Limited Data Sets. ICUMT 2019: 1-6 - [c1]José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth:
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. OMIA@MICCAI 2019: 26-34 - [i4]Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler:
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR abs/1901.07598 (2019) - [i3]Roswitha Bammer, Anna Breger, Monika Dörfler, Pavol Harár, Zdenek Smékal:
Machines listening to music: the role of signal representations in learning from music. CoRR abs/1903.08950 (2019) - [i2]José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth:
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans. CoRR abs/1908.00764 (2019) - [i1]Anna Breger, Gabriel Ramos-Llordén, Gonzalo Vegas-Sánchez-Ferrero, W. Scott Hoge, Martin Ehler, Carl-Fredrik Westin:
On the reconstruction accuracy of multi-coil MRI with orthogonal projections. CoRR abs/1910.13422 (2019) - 2018
- [j1]Anna Breger, Martin Ehler, Manuel Gräf:
Points on manifolds with asymptotically optimal covering radius. J. Complex. 48: 1-14 (2018)
Coauthor Index
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