Artifact-free JPEG Decompression with Total Generalized Variation. - Kristian Bredies; Martin Holler (VISAPP (1), 2012)

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation. - Kristian Bredies; Martin Holler (VISIGRAPP (Selected Papers), 2012)

A Total Variation-Based JPEG Decompression Model. - Kristian Bredies; Martin Holler (SIAM J. Imaging Sci., 2012)

A TGV Regularized Wavelet Based Zooming Model. - Kristian Bredies; Martin Holler (SSVM, 2013)

On Infimal Convolution of TV-Type Functionals and Applications to Video and Image Reconstruction. - Martin Holler; Karl Kunisch (SIAM J. Imaging Sci., 2014)

Artifact-Free Variational MPEG Decompression. - Kristian Bredies; Martin Holler (SSVM, 2015)

A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics. - Kristian Bredies; Martin Holler (SIAM J. Imaging Sci., 2015)

A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics. - Kristian Bredies; Martin Holler (SIAM J. Imaging Sci., 2015)

Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer. - Florian Knoll; Martin Holler; Thomas Kösters; Ricardo Otazo; Kristian Bredies; Daniel K. Sodickson (IEEE Trans. Medical Imaging, 2017)

Total Generalized Variation for Manifold-Valued Data. - Kristian Bredies; Martin Holler; Martin Storath; Andreas Weinmann (SIAM J. Imaging Sci., 2018)

Variational Decompression of Image Data From DjVu Encoded Files. - Martin Holler; Kamil S. Kazimierski (IEEE Trans. Image Process., 2018)

Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction. - Georg Schramm; Martin Holler; Ahmadreza Rezaei; Kathleen Vunckx; Florian Knoll; Kristian Bredies; Fernando E. Boada; Johan Nuyts (IEEE Trans. Medical Imaging, 2018)

Non-smooth variational regularization for processing manifold-valued data. - Martin Holler; Andreas Weinmann (CoRR, 2019)

Higher-order total variation approaches and generalisations. - Kristian Bredies; Martin Holler (CoRR, 2019)

A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data. - Antonin Chambolle; Martin Holler; Thomas Pock (J. Math. Imaging Vis., 2020)

Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space. - Martin Holler; Alexander Schlüter; Benedikt Wirth (CoRR, 2021)

Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI. - Abdullah; Martin Holler; Karl Kunisch; Malena Sabate Landman (CoRR, 2022)

A Generative Variational Model for Inverse Problems in Imaging. - Andreas Habring; Martin Holler (SIAM J. Math. Data Sci., 2022)

A Parameter Identification Approach towards Analyzing Hemodynamics Based on Capnography. - Wolfgang J. Kern; Simon Orlob; Gabriel Putzer; Judith Martini; Martin Holler (CinC, 2023)

Probabilistic Modeling of Chronological Dates to Serve Machines and Scholars. - Andreas Habring; Anguelos Nicolaou; Daniel Luger; Florian Atzenhofer-Baumgartner; Florian Lamminger; Franziska Decker; Sandy Aoun; Tamás Kovács; Georg Vogeler; Martin Holler (DH, 2023)

Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data. - Abdullah Abdullah; Martin Holler; Karl Kunisch; Malena Sabate Landman (SSVM, 2023)

Accelerometry-Based Classification of Circulatory States During Out-of-Hospital Cardiac Arrest. - Wolfgang J. Kern; Simon Orlob; Andreas Bohn; Wolfgang Toller; Jan Wnent; Jan-Thorsten Gräsner; Martin Holler (IEEE Trans. Biomed. Eng., 2023)

A Note on the Regularity of Images Generated by Convolutional Neural Networks. - Andreas Habring; Martin Holler (SIAM J. Math. Data Sci., 2023)

Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI. - Bruno Viti; Franz Thaler; Kathrin Lisa Kapper; Martin Urschler; Martin Holler; Elias Karabelas (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

On the growth of the parameters of approximating ReLU neural networks. - Erion Morina; Martin Holler (CoRR, 2024)

On uniqueness in structured model learning. - Martin Holler; Erion Morina (CoRR, 2024)

Exact Reconstruction and Reconstruction from Noisy Data with Anisotropic Total Variation. - Martin Holler; Benedikt Wirth (SIAM J. Math. Anal., 2024)

Subgradient Langevin Methods for Sampling from Nonsmooth Potentials. - Andreas Habring; Martin Holler; Thomas Pock (SIAM J. Math. Data Sci., 2024)

Unsupervised Energy Disaggregation Via Convolutional Sparse Coding. - Christian Aarset; Andreas Habring; Martin Holler; Mario Mitter (IEEE Trans. Consumer Electron., 2024)

Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. - Dominik Narnhofer; Andreas Habring; Martin Holler; Thomas Pock (SIAM J. Imaging Sci., 2024)

A sparse optimization approach to infinite infimal convolution regularization. - Kristian Bredies; Marcello Carioni; Martin Holler; Yury Korolev; Carola-Bibiane Schönlieb (Numerische Mathematik, 2025)

CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition. - Bruno Viti; Elias Karabelas; Martin Holler (CoRR, 2025)