Developing a computeized simulator for Endoscopic Ultarasound. - Stefania Petra; Alexandra Schaeffer; Albert Schaeffer; Sagi Nachum; Tal Guterman; Alex Shaharit; Ury Zhilinsky; Mira Barki (CARS, 2003)

On a semismooth least squares formulation of complementarity problems with gap reduction. - Christian Kanzow; Stefania Petra (Optim. Methods Softw., 2004)

Projected filter trust region methods for a semismooth least squares formulation of mixed complementarity problems. - Christian Kanzow; Stefania Petra (Optim. Methods Softw., 2007)

On Sparsity Maximization in Tomographic Particle Image Reconstruction. - Stefania Petra; Andreas Schröder 002; Bernhard Wieneke; Christoph Schnörr (DAGM-Symposium, 2008)

Variational Image Denoising with Adaptive Constraint Sets. - Frank Lenzen; Florian Becker; Jan Lellmann; Stefania Petra; Christoph Schnörr (SSVM, 2011)

Average Case Recovery Analysis of Tomographic Compressive Sensing - Stefania Petra; Christoph Schnörr (CoRR, 2012)

A general extending and constraining procedure for linear iterative methods. - Aurelian Nicola; Stefania Petra; Constantin Popa; Christoph Schnörr (Int. J. Comput. Math., 2012)

Variational Adaptive Correlation Method for Flow Estimation. - Florian Becker; Bernhard Wieneke; Stefania Petra; Andreas Schröder 002; Christoph Schnörr (IEEE Trans. Image Process., 2012)

Corrections to "Variational Adaptive Correlation Method for Flow Estimation". - Florian Becker; Bernhard Wieneke; Stefania Petra; Andreas Schröder 002; Christoph Schnörr (IEEE Trans. Image Process., 2012)

B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems. - Stefania Petra; Christoph Schnörr; Florian Becker; Frank Lenzen (SSVM, 2013)

A class of quasi-variational inequalities for adaptive image denoising and decomposition. - Frank Lenzen; Florian Becker; Jan Lellmann; Stefania Petra; Christoph Schnörr (Comput. Optim. Appl., 2013)

Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics. - Stefania Petra; Christoph Schnörr; Andreas Schröder 002 (Fundam. Informaticae, 2013)

An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography. - Andreea Denitiu; Stefania Petra; Claudius Schnörr; Christoph Schnörr (DGCI, 2014)

Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV. - Ecaterina Bodnariuc; Arati Gurung; Stefania Petra; Christoph Schnörr (EMMCVPR, 2014)

Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. - Andreea Denitiu; Stefania Petra; Claudius Schnörr; Christoph Schnörr (Fundam. Informaticae, 2014)

TomoGC: Binary Tomography by Constrained GraphCuts. - Jörg Hendrik Kappes; Stefania Petra; Christoph Schnörr; Matthias Zisler (GCPR, 2015)

Optical Flow. - Florian Becker; Stefania Petra; Christoph Schnörr (Handbook of Mathematical Methods in Imaging, 2015)

The Assignment Manifold: A Smooth Model for Image Labeling. - Freddie Åström; Stefania Petra; Bernhard Schmitzer; Christoph Schnörr (CVPR Workshops, 2016)

Parametric Dictionary-Based Velocimetry for Echo PIV. - Ecaterina Bodnariuc; Stefania Petra; Christian Poelma; Christoph Schnörr (GCPR, 2016)

Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints. - Matthias Zisler; Stefania Petra; Claudius Schnörr; Christoph Schnörr (GCPR, 2016)

A Geometric Approach to Image Labeling. - Freddie Åström; Stefania Petra; Bernhard Schmitzer; Christoph Schnörr (ECCV (5), 2016)

Single projection Kaczmarz extended algorithms. - Stefania Petra; Constantin Popa (Numer. Algorithms, 2016)

Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. - Matthias Zisler; Jörg Hendrik Kappes; Claudius Schnörr; Stefania Petra; Christoph Schnörr (IEEE Trans. Computational Imaging, 2016)

A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry. - Ecaterina Bodnariuc; Stefania Petra; Christoph Schnörr; Jason D. Voorneveld (GCPR, 2017)

Gradient Flows on a Riemannian Submanifold for Discrete Tomography. - Matthias Zisler; Fabrizio Savarino; Stefania Petra; Christoph Schnörr (GCPR, 2017)

Compressed Motion Sensing. - Robert Dalitz; Stefania Petra; Christoph Schnörr (SSVM, 2017)

Performance Bounds for Cosparse Multichannel Signal Recovery via Collaborative-TV. - Lukas Kiefer; Stefania Petra (SSVM, 2017)

A Novel Convex Relaxation for Non-binary Discrete Tomography. - Jan Kuske; Paul Swoboda; Stefania Petra (SSVM, 2017)

Graphical Model Parameter Learning by Inverse Linear Programming. - Vera Trajkovska; Paul Swoboda; Freddie Åström; Stefania Petra (SSVM, 2017)

Image Reconstruction by Multilabel Propagation. - Matthias Zisler; Freddie Åström; Stefania Petra; Christoph Schnörr (SSVM, 2017)

Image Labeling by Assignment. - Freddie Åström; Stefania Petra; Bernhard Schmitzer; Christoph Schnörr (J. Math. Imaging Vis., 2017)

Erratum to: Single projection Kaczmarz extended algorithms. - Stefania Petra; Constantin Popa (Numer. Algorithms, 2017)

Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. - Artjom Zern; Matthias Zisler; Freddie Åström; Stefania Petra; Christoph Schnörr (GCPR, 2018)

Performance Bounds For Co-/Sparse Box Constrained Signal Recovery. - Jan Kuske; Stefania Petra (CoRR, 2018)

Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization. - Lukas Kiefer; Stefania Petra; Martin Storath; Andreas Weinmann (SSVM, 2019)

Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment. - Matthias Zisler; Artjom Zern; Stefania Petra; Christoph Schnörr (SSVM, 2019)

Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case. - Yair Censor; Stefania Petra; Christoph Schnörr (CoRR, 2019)

Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography. - Lukas Kiefer; Stefania Petra; Martin Storath; Andreas Weinmann (CoRR, 2020)

Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. - Artjom Zern; Matthias Zisler; Stefania Petra; Christoph Schnörr (J. Math. Imaging Vis., 2020)

Self-Assignment Flows for Unsupervised Data Labeling on Graphs. - Matthias Zisler; Artjom Zern; Stefania Petra; Christoph Schnörr (SIAM J. Imaging Sci., 2020)

First-Order Geometric Multilevel Optimization for Discrete Tomography. - Jan Plier; Fabrizio Savarino; Michal Kocvara; Stefania Petra (SSVM, 2021)

Learning Linear Assignment Flows for Image Labeling via Exponential Integration. - Alexander Zeilmann; Stefania Petra; Christoph Schnörr (SSVM, 2021)

Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. - Ruben Hühnerbein; Fabrizio Savarino; Stefania Petra; Christoph Schnörr (J. Math. Imaging Vis., 2021)

Learning Features via Transformer Networks for Cardiomyocyte Profiling. - Jan Plier; Matthias Zisler; Jennifer Furkel; Maximilian Knoll; Alexander Marx 003; Alena Fischer; Kai Polsterer; Mathias H. Konstandin; Stefania Petra (Bildverarbeitung für die Medizin, 2022)

Self-Certifying Classification by Linearized Deep Assignment. - Bastian Boll; Alexander Zeilmann; Stefania Petra; Christoph Schnörr (CoRR, 2022)

Multi-level Geometric Optimization for Regularised Constrained Linear Inverse Problems. - Sebastian Müller; Stefania Petra; Matthias Zisler (CoRR, 2022)

Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment. - Bastian Boll; Jonathan Schwarz; Daniel Gonzalez-Alvarado; Dmitrij Sitenko; Stefania Petra; Christoph Schnörr (SSVM, 2023)

On the Remarkable Efficiency of SMART. - Max Kahl; Stefania Petra; Christoph Schnörr; Gabriele Steidl; Matthias Zisler (SSVM, 2023)

Learning Linearized Assignment Flows for Image Labeling. - Alexander Zeilmann; Stefania Petra; Christoph Schnörr (J. Math. Imaging Vis., 2023)

Accelerated Bregmann divergence optimization with SMART: an information geometry point of view. - Maren Raus; Yara Elshiaty; Stefania Petra (CoRR, 2024)

A Geometric Embedding Approach to Multiple Games and Multiple Populations. - Bastian Boll; Jonas Cassel; Peter Albers; Stefania Petra; Christoph Schnörr (CoRR, 2024)

Sigma Flows for Image and Data Labeling and Learning Structured Prediction. - Jonas Cassel; Bastian Boll; Stefania Petra; Peter Albers; Christoph Schnörr (CoRR, 2024)

Information Geometry of Exponentiated Gradient: Convergence Beyond L-Smoothness. - Yara Elshiaty; Ferdinand Vanmaele; Stefania Petra (SSVM (2), 2025)

Riemannian Patch Assignment Gradient Flows. - Daniel Gonzalez-Alvarado; Fabio Schlindwein; Jonas Cassel; Laura Steingruber; Stefania Petra; Christoph Schnörr (SSVM (2), 2025)

Multilevel Optimization: Geometric Coarse Models and Convergence Analysis. - Ferdinand Vanmaele; Yara Elshiaty; Stefania Petra (SSVM (2), 2025)

Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data. - Bastian Boll; Daniel Gonzalez-Alvarado; Stefania Petra; Christoph Schnörr (J. Math. Imaging Vis., 2025)