Anna Breger

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All published works

Action	Title	Year	Authors
+ PDF Chat	Parameter choices in HaarPSI for IQA with medical images	2024	Clemens Karner Janek Gröhl Ian Selby Judith Babar Jake Beckford Thomas R. Else Timothy J Sadler Shahab Shahipasand Arthikkaa Thavakumar Michael Roberts
+ PDF Chat	Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology	2024	Panagiotis Fytas Anna Breger Ian Selby Simon Baker Shahab Shahipasand Anna Korhonen
+ PDF Chat	A study of why we need to reassess full reference image quality assessment with medical images	2024	Anna Breger Ander Biguri Malena Sabaté Landman Ian Selby Nicole Amberg Elisabeth Brunner Janek Gröhl Sepideh Hatamikia Clemens Karner Lipeng Ning
+ PDF Chat	A study on the adequacy of common IQA measures for medical images	2024	Anna Breger Clemens Karner Ian Selby Janek Gröhl Sören Dittmer Edward Lilley Judith Babar Jake Beckford Timothy J Sadler Shahab Shahipasand
+	visClust: A visual clustering algorithm based on orthogonal projections	2023	Anna Breger Clemens Karner Martin Ehler
+ PDF Chat	The impact of imputation quality on machine learning classifiers for datasets with missing values	2023	Tolou Shadbahr Michael Roberts Jan Stanczuk Julian Gilbey Philip Teare Sören Dittmer Matthew Thorpe Ramón Viñas Evis Sala Píetro Lió
+ PDF Chat	Blood vessel segmentation in en-face OCTA images: a frequency based method	2022	Anna Breger Felix Goldbach Bianca S. Gerendas Ursula Schmidt‐Erfurth Martin Ehler
+	visClust: A visual clustering algorithm based on orthogonal projections	2022	Anna Breger Clemens Karner Martin Ehler
+	Blood vessel segmentation in en-face OCTA images: a frequency based method	2021	Anna Breger Felix Goldbach Bianca S. Gerendas Ursula Schmidt‐Erfurth Martin Ehler
+ PDF Chat	On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems	2019	Anna Breger José Ignacio Orlando Pavol Harár Monika Dörfler Sophie Klimscha Christoph Grechenig Bianca S. Gerendas Ursula Schmidt‐Erfurth Martin Ehler
+ PDF Chat	Improving Machine Hearing on Limited Data Sets	2019	Pavol Harár Roswitha Bammer Anna Breger Monika Dörfler Zdeněk Smékal
+	Machines listening to music: the role of signal representations in learning from music.	2019	Roswitha Bammer Anna Breger Monika Dörfler Pavol Harár Zdeněk Smékal
+	Improving Machine Hearing on Limited Data Sets	2019	Pavol Harár Roswitha Bammer Anna Breger Monika Dörfler Zdeněk Smékal
+	On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems	2019	Anna Breger José Ignacio Orlando Pavol Harár Monika Dörfler Sophie Klimscha Christoph Grechenig Bianca S. Gerendas Ursula Schmidt‐Erfurth Martin Ehler
+	On the reconstruction accuracy of multi-coil MRI with orthogonal projections	2019	Anna Breger Gabriel Ramos‐Llordén Gonzalo Vegas‐Sánchez‐Ferrero W. Scott Hoge Martin Ehler Carl‐Fredrik Westin
+	Improving Machine Hearing on Limited Data Sets	2019	Pavol Harár Roswitha Bammer Anna Breger Dorfler Monika Zdeněk Smékal
+ PDF Chat	An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans	2019	José Ignacio Orlando Anna Breger Hrvoje Bogunović Sophie Riedl Bianca S. Gerendas Martin Ehler Ursula Schmidt‐Erfurth
+	Points on manifolds with asymptotically optimal covering radius	2018	Anna Breger Martin Ehler Manuel Gräf
+	Sampling in Grassmannians	2017	Anna Breger Martin Ehler
+ PDF Chat	Quasi Monte Carlo Integration and Kernel-Based Function Approximation on Grassmannians	2017	Anna Breger Martin Ehler Manuel Gräf
+ PDF Chat	Cubatures on Grassmannians: Moments, Dimension Reduction, and Related Topics	2017	Anna Breger Martin Ehler Manuel Gräf Thomas Peter
+	On image segmentation and applications in clinical retinal analysis	2015	Anna Breger

Common Coauthors

Coauthor	Papers Together
Martin Ehler	12
Pavol Harár	6
Monika Dörfler	5
Clemens Karner	5
Ursula Schmidt‐Erfurth	5
Ian Selby	5
Bianca S. Gerendas	5
Zdeněk Smékal	4
Roswitha Bammer	4
Carola‐Bibiane Schönlieb	4
Sören Dittmer	3
Judith Babar	3
Michael Roberts	3
Janek Gröhl	3
Shahab Shahipasand	3
José Ignacio Orlando	3
Manuel Gräf	3
Sophie Klimscha	2
Christoph Grechenig	2
Arthikkaa Thavakumar	2
Jonathan Weir‐McCall	2
James H.F. Rudd	2
Felix Goldbach	2
Jake Beckford	2
Anna Korhonen	2
Timothy J Sadler	2
Matthew Thorpe	1
Gabriel Ramos‐Llordén	1
Emily Jefferson	1
Tolou Shadbahr	1
Jing Tang	1
Marcel Wassin	1
Ander Biguri	1
John A. D. Aston	1
Hrvoje Bogunović	1
Nicholas Walton	1
Nicole Amberg	1
Guang Yang	1
Dorfler Monika	1
Lipeng Ning	1
Mishal Patel	1
Lorena Escudero Sánchez	1
Elisabeth Brunner	1
Edward Lilley	1
Helmut Prosch	1
Thomas Peter	1
AIX-COVNET Collaboration	1
Gonzalo Vegas‐Sánchez‐Ferrero	1
W. Scott Hoge	1
Evis Sala	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems	2019	Anna Breger José Ignacio Orlando Pavol Harár Monika Dörfler Sophie Klimscha Christoph Grechenig Bianca S. Gerendas Ursula Schmidt‐Erfurth Martin Ehler	6
+	Points on manifolds with asymptotically optimal covering radius	2018	Anna Breger Martin Ehler Manuel Gräf	6
+ PDF Chat	The Covering Radius of Randomly Distributed Points on a Manifold	2015	Alexander Reznikov Edward B. Saff	5
+	An elementary proof of a theorem of Johnson and Lindenstrauss	2002	Sanjoy Dasgupta Anupam Gupta	5
+ PDF Chat	Asymptotically optimal designs on compact algebraic manifolds	2018	Ujué Etayo Jordi Marzo Joaquim Ortega‐Cerdà	5
+ PDF Chat	Cubature Formulas, Geometrical Designs, Reproducing Kernels, and Markov Operators	2005	Pierre de la Harpe Claude Pache	5
+	Quadrature rules and distribution of points on manifolds	2014	Luca Brandolini Christine Choirat Leonardo Colzani Giacomo Gigante Raffaello Seri Giancarlo Travaglini	4
+	A Quadrature Formula for Diffusion Polynomials Corresponding to a Generalized Heat Kernel	2010	Frank Filbir H. N. Mhaskar	4
+ PDF Chat	None	2002	Christine Bachoc Renaud Coulangeon Gabriele Nebe	4
+ PDF Chat	Quasi Monte Carlo Integration and Kernel-Based Function Approximation on Grassmannians	2017	Anna Breger Martin Ehler Manuel Gräf	4
+	Codes and designs in Grassmannian spaces	2003	Christine Bachoc Eiichi Bannaĭ Renaud Coulangeon	4
+	QMC designs: Optimal order Quasi Monte Carlo integration schemes on the sphere	2014	J. Brauchart E. B. Saff Ian H. Sloan Robert S. Womersley	4
+	Averaging sets: A generalization of mean values and spherical designs	1984	Paul Seymour Thomas Zasĺavsky	3
+ PDF Chat	Reproducing Kernels for the Irreducible Components of Polynomial Spaces on Unions of Grassmannians	2018	Martin Ehler Manuel Gräf	3
+	Covering of spheres by spherical caps and worst-case error for equal weight cubature in Sobolev spaces	2015	Johann S. Brauchart Josef Dick E. B. Saff Ian H. Sloan Yu Guang Wang Robert S. Womersley	3
+	Generalized cross entropy loss for training deep neural networks with noisy labels	2018	Zhilu Zhang Mert R. Sabuncu	3
+	Eignets for function approximation on manifolds	2009	H. N. Mhaskar	3
+ PDF Chat	Tight p -fusion frames	2012	Christine Bachoc Martin Ehler	3
+	Efficient Algorithms for the Computation of Optimal Quadrature Points on Riemannian Manifolds	2013	Manuel Gräf	3
+	Optimization Algorithms on Matrix Manifolds	2007	P.-A. Absil Robert Mahony Rodolphe Sepulchre	2
+	Theory of Function Spaces II	1992	Hans Triebel	2
+	A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions	2022	Sheng Zhou Hongjia Xu Zhuonan Zheng Jiawei Chen Zhao Li Jiajun Bu Jia Wu Xin Wang Wenwu Zhu Martin Ester	2
+ PDF Chat	Adaptive Graph Auto-Encoder for General Data Clustering	2021	Xuelong Li Hongyuan Zhang Rui Zhang	2
+ PDF Chat	Band-Limited Localized Parseval Frames and Besov Spaces on Compact Homogeneous Manifolds	2010	Daryl Geller Isaac Z. Pesenson	2
+ PDF Chat	Optimal asymptotic bounds for spherical designs	2013	Andriy Bondarenko Danylo Radchenko Maryna Viazovska	2
+ PDF Chat	From Low- to High-Dimensional Moments Without Magic	2017	Bernhard G. Bodmann Martin Ehler Manuel Gräf	2
+	Comparing partitions	1985	Lawrence J. Hubert Phipps Arabie	2
+ PDF Chat	Group Invariant Scattering	2012	Stéphane Mallat	2
+	Diffusion polynomial frames on metric measure spaces	2007	Mauro Maggioni H. N. Mhaskar	2
+	None	2008	Nikolaos Fountoulakis Daniela Kühn Deryk Osthus	2
+	Spherical functions on the Grassmann manifold and generalized Jacobi polynomials — part 1	1999	A. W. Davis	2
+ PDF Chat	Random Point Sets on the Sphere—Hole Radii, Covering, and Separation	2016	Johann S. Brauchart Alexander Reznikov Edward B. Saff Ian H. Sloan Yu Guang Wang Robert S. Womersley	2
+ PDF Chat	Cubature Formulas and Discrete Fourier Transform on Compact Manifolds	2012	Isaac Z. Pesenson Daryl Geller	2
+ PDF Chat	Random Projections for Large-Scale Regression	2017	Gian-Andrea Thanei Christina Heinze Nicolai Meinshausen	2
+	Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels	2018	Zhilu Zhang Mert R. Sabuncu	2
+ PDF Chat	The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering	2019	Sibylle Hess Wouter Duivesteijn Philipp Honysz Katharina Morik	2
+ PDF Chat	Understanding deep convolutional networks	2016	Stéphane Mallat	2
+ PDF Chat	Objective Criteria for the Evaluation of Clustering Methods	1971	Telmo Menezes Camille Roth	2
+	A multivariate version of the Vandermonde determinant identity	2014	Itaï Ben Yaacov	2
+	The analysis of linear partial differential operators	1990	Lars Hörmander	2
+	Marcinkiewicz–Zygmund measures on manifolds	2011	Frank Filbir H. N. Mhaskar	2
+ PDF Chat	Gabor Frames and Deep Scattering Networks in Audio Processing	2019	Roswitha Bammer Monika Dörfler Pavol Harár	2
+	MOPS: Multivariate orthogonal polynomials (symbolically)	2007	Ioana Dumitriu Alan Edelman Gene Shuman	2
+	Theory of Function Spaces III	2006	Hans Triebel	2
+ PDF Chat	Deep Scattering Spectrum	2014	Joakim Andén Stéphane Mallat	2
+ PDF Chat	The Impact of Random Models on Clustering Similarity	2017	Alexander J. Gates Yong‐Yeol Ahn	2
+	Spherical functions on the Grassmann manifold and generalized Jacobi polynomials — Part 2	1999	A. W. Davis	2
+	Harmonic decompositions on unions of Grassmannians	2014	Martin Ehler Manuel Gräf	2
+ PDF Chat	Randomized Algorithms for Matrices and Data	2012	Michael W. Mahoney	1
+	𝑛-widths and approximation theory on compact Riemannian manifolds	2013	Daryl Geller Isaac Z. Pesenson	1