Markus Haltmeier

IEEE Trans. Image Process., 2024

Design, Implementation and Analysis of a Compressed Sensing Photoacoustic Projection Imaging System.

[BibT_eX]

[DOI]

Matthias Ye

Karoline Felbermayer

Florian Hinterleitner

Peter Burgholzer

CoRR, 2024

Derivative-Free iterative One-Step Reconstruction for Multispectral CT.

[BibT_eX]

[DOI]

Thomas Prohaszka

Lukas Neumann

CoRR, 2024

ECALL: Expectation-calibrated learning for unsupervised blind deconvolution.

[BibT_eX]

[DOI]

Gyeongha Hwang

CoRR, 2024

Convergence rates for critical point regularization.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2024

2023

Correction: Unsupervised single-shot depth estimation using perceptual reconstruction.

[BibT_eX]

[DOI]

Mach. Vis. Appl., November, 2023

Unsupervised single-shot depth estimation using perceptual reconstruction.

[BibT_eX]

[DOI]

Mach. Vis. Appl., September, 2023

Surface topography characterization using a simple optical device and artificial neural networks.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

Three-dimensional Bone Image Synthesis with Generative Adversarial Networks.

[BibT_eX]

[DOI]

Johannes Bereiter-Payr

Kerstin Stock

Gerald Degenhart

CoRR, 2023

Data-driven Morozov regularization of inverse problems.

[BibT_eX]

[DOI]

Johannes Bauer-Marschallinger

Richard Kowar

Markus Tiefentaler

CoRR, 2023

Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity.

[BibT_eX]

[DOI]

Peter Burgholzer

Mike Hettich

CoRR, 2023

Heat diffusion blurs photothermal images with increasing depth.

[BibT_eX]

[DOI]

CoRR, 2023

Sampling and resolution in sparse view photoacoustic tomography.

[BibT_eX]

[DOI]

Karoline Felbermayer

Florian Hinterleitner

Peter Burgholzer

CoRR, 2023

Relaxed data-consistency for limited bandwidth photoacoustic tomography.

[BibT_eX]

[DOI]

CoRR, 2023

Superiorized Regularization of Inverse Problems.

[BibT_eX]

[DOI]

Aviv Gibali

CoRR, 2023

Single-Image based unsupervised joint segmentation and denoising.

[BibT_eX]

[DOI]

CoRR, 2023

Data-proximal null-space networks for inverse problems.

[BibT_eX]

[DOI]

CoRR, 2023

Convergence of non-linear diagonal frame filtering for regularizing inverse problems.

[BibT_eX]

[DOI]

Andrea Ebner

CoRR, 2023

Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images.

[BibT_eX]

[DOI]

CoRR, 2023

Convergence analysis of equilibrium methods for inverse problems.

[BibT_eX]

[DOI]

CoRR, 2023

Translation invariant diagonal frame decomposition for the Radon transform.

[BibT_eX]

[DOI]

CoRR, 2023

A complementary 𝓁1-TV reconstruction algorithm for limited data CT.

[BibT_eX]

[DOI]

CoRR, 2023

Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Analysis for Full-Field Photoacoustic Tomography with Variable Sound Speed.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., September, 2022

Translation invariant diagonal frame decomposition of inverse problems and their regularization.

[BibT_eX]

[DOI]

CoRR, 2022

Feature reconstruction from incomplete tomographic data without detour.

[BibT_eX]

[DOI]

CoRR, 2022

A Joint Variational Multichannel Multiphase Segmentation Framework.

[BibT_eX]

[DOI]

CoRR, 2022

Compressed Sensing of Indirect Data.

[BibT_eX]

[DOI]

Andrea Ebner

CoRR, 2022

A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates.

[BibT_eX]

[DOI]

Christian M. Siedentopf

Artif. Intell. Medicine, 2022

Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks.

[BibT_eX]

[DOI]

Ahsan Raza Siyal

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Recovering the Initial Data of the Wave Equation from Neumann Traces.

[BibT_eX]

[DOI]

Florian Dreier

SIAM J. Math. Anal., 2021

Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography.

[BibT_eX]

[DOI]

Gerhard Zangerl

SIAM J. Imaging Sci., 2021

Discretization of Learned NETT Regularization for Solving Inverse Problems.

[BibT_eX]

[DOI]

Stephan Antholzer

J. Imaging, 2021

Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines.

[BibT_eX]

[DOI]

CoRR, 2021

An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2021

Deep structure learning using feature extraction in trained projection space.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2021

Combining Reconstruction and Edge Detection in Computed Tomography.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Explicit Inversion Formulas for the Two-Dimensional Wave Equation from Neumann Traces.

[BibT_eX]

[DOI]

Florian Dreier

SIAM J. Imaging Sci., 2020

Big in Japan: Regularizing Networks for Solving Inverse Problems.

[BibT_eX]

[DOI]

Stephan Antholzer

J. Math. Imaging Vis., 2020

A machine learning framework for customer purchase prediction in the non-contractual setting.

[BibT_eX]

[DOI]

Andrés Martínez

Claudia Schmuck

Clemens Pirker

Eur. J. Oper. Res., 2020

Regularization of systems of nonlinear ill-posed equations: II. Applications.

[BibT_eX]

[DOI]

CoRR, 2020

Regularization of systems of nonlinear ill-posed equations: I. Convergence Analysis.

[BibT_eX]

[DOI]

A. Leitao

Otmar Scherzer

CoRR, 2020

PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space.

[BibT_eX]

[DOI]

CoRR, 2020

Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Scale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography.

[BibT_eX]

[DOI]

Gerhard Zangerl

CoRR, 2020

Regularization of Inverse Problems by Neural Networks.

[BibT_eX]

[DOI]

Linh V. Nguyen

CoRR, 2020

Data-consistent neural networks for solving nonlinear inverse problems.

[BibT_eX]

[DOI]

CoRR, 2020

The conical Radon transform with vertices on triple lines.

[BibT_eX]

[DOI]

Sunghwan Moon

CoRR, 2020

Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI.

[BibT_eX]

[DOI]

CoRR, 2020

Deep synthesis regularization of inverse problems.

[BibT_eX]

[DOI]

CoRR, 2020

Sparse Anett For Solving Inverse Problems With Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

2019

Analysis of the Block Coordinate Descent Method for Linear Ill-Posed Problems.

[BibT_eX]

[DOI]

Simon Rabanser

Lukas Neumann

SIAM J. Imaging Sci., 2019

Reconstruction Algorithms for Photoacoustic Tomography in Heterogeneous Damping Media.

[BibT_eX]

[DOI]

Linh V. Nguyen

J. Math. Imaging Vis., 2019

Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging.

[BibT_eX]

[DOI]

CoRR, 2019

Sparse regularization of inverse problems by biorthogonal frame thresholding.

[BibT_eX]

[DOI]

CoRR, 2019

Sparse 𝓁q-regularization of inverse problems with deep learning.

[BibT_eX]

[DOI]

CoRR, 2019

A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation.

[BibT_eX]

[DOI]

Ruth Steiger

Elke Ruth Gizewski

CoRR, 2019

Operator Learning Approach for the Limited View Problem in Photoacoustic Tomography.

[BibT_eX]

[DOI]

Florian Dreier

Comput. Methods Appl. Math., 2019

Random 2.5D U-net for Fully 3D Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

2018

A Galerkin Least Squares Approach for Photoacoustic Tomography.

[BibT_eX]

[DOI]

SIAM J. Numer. Anal., 2018

The Averaged Kaczmarz Iteration for Solving Inverse Problems.

[BibT_eX]

[DOI]

Housen Li

SIAM J. Imaging Sci., 2018

Analysis of the Linearized Problem of Quantitative Photoacoustic Tomography.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2018

Stochastic Proximal Gradient Algorithms for Multi-Source Quantitative Photoacoustic Tomography.

[BibT_eX]

[DOI]

Simon Rabanser

Lukas Neumann

Entropy, 2018

NETT: Solving Inverse Problems with Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Image-Based Fashion Product Recommendation with Deep Learning.

[BibT_eX]

[DOI]

Hessel Tuinhof

Clemens Pirker

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

A U-Nets Cascade for Sparse View Computed Tomography.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

2017

Inversion of the Attenuated V-Line Transform With Vertices on the Circle.

[BibT_eX]

[DOI]

Sunghwan Moon

Daniela Schiefeneder

IEEE Trans. Computational Imaging, 2017

Analytic Inversion of a Conical Radon Transform Arising in Application of Compton Cameras on the Cylinder.

[BibT_eX]

[DOI]

Sunghwan Moon

SIAM J. Imaging Sci., 2017

Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed.

[BibT_eX]

[DOI]

Linh V. Nguyen

SIAM J. Imaging Sci., 2017

The Radon Transform over Cones with Vertices on the Sphere and Orthogonal Axes.

[BibT_eX]

[DOI]

Daniela Schiefeneder

SIAM J. Appl. Math., 2017

A Framework for Compressive Time-of-Flight 3D Sensing.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Learning for Photoacoustic Tomography from Sparse Data.

[BibT_eX]

[DOI]

Stephan Antholzer

CoRR, 2017

2016

Sampling Conditions for the Circular Radon Transform.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

2015

Recovering a Function from Circular Means or Wave Data on the Boundary of Parabolic Domains.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

A Novel Compressed Sensing Scheme for Photoacoustic Tomography.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2015

2014

Universal Inversion Formulas for Recovering a Function from Spherical Means.

[BibT_eX]

[DOI]

SIAM J. Math. Anal., 2014

2013

Stable Signal Reconstruction via 1 -Minimization in Redundant, Non-Tight Frames.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Inversion of circular means and the wave equation on convex planar domains.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2013

Block-sparse analysis regularization of ill-posed problems via l2, 1-minimization.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013

2011

Inversion Formulas for a Cylindrical Radon Transform.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2011

A Mollification Approach for Inverting the Spherical Mean Radon Transform.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2011

The residual method for regularizing ill-posed problems.

[BibT_eX]

[DOI]

Markus Grasmair

Otmar Scherzer

Appl. Math. Comput., 2011

2009

A Reconstruction Algorithm for Photoacoustic Imaging Based on the Nonuniform FFT.

[BibT_eX]

[DOI]

Otmar Scherzer

Gerhard Zangerl

IEEE Trans. Medical Imaging, 2009

Variational Methods in Imaging.

[BibT_eX]

[DOI]

Applied mathematical sciences 167, Springer, ISBN: 978-0-387-30931-6, 2009

2008

On Steepest-Descent-Kaczmarz methods for regularizing systems of nonlinear ill-posed equations.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2008

2007

Inversion of Spherical Means and the Wave Equation in Even Dimensions.

[BibT_eX]

[DOI]