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Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case

Journal of mathematical imaging and vision, 2023, Vol.65 (1), p.124-139

2023

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Guest Editorial: Scale Space and Variational Methods

Journal of mathematical imaging and vision, 2021-02, Vol.63 (2), p.131-132

2021

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Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition

Journal of mathematical imaging and vision, 2022-02, Vol.64 (2), p.194-211

2022

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Classification of Pancreatic Ductal Adenocarcinoma Using MALDI Mass Spectrometry Imaging Combined with Neural Networks

Cancers, 2023-01, Vol.15 (3), p.686

2023

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Scale Space and Variational Methods in Computer Vision: 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings

1st Edition 2019, 2019

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Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging

Journal of mathematical imaging and vision, 2018-11, Vol.60 (9), p.1482-1502

2018

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An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising

SIAM journal on imaging sciences, 2021-01, Vol.14 (4), p.1565-1600

2021

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A universal quantum algorithm for weighted maximum cut and Ising problems

Quantum information processing, 2023-07, Vol.22 (7), Article 279

2023

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Image Reconstruction with Imperfect Forward Models and Applications in Deblurring

SIAM journal on imaging sciences, 2018-01, Vol.11 (1), p.197-218

2018

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Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting

Scale Space and Variational Methods in Computer Vision, 2021, Vol.12679, p.229-241

2021

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Total Variation Regularization for Functions with Values in a Manifold

2013 IEEE International Conference on Computer Vision, 2013, p.2944-2951

2013

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Functional Liftings of Vectorial Variational Problems with Laplacian Regularization

Scale Space and Variational Methods in Computer Vision, p.559-571

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Variational Image Registration for Inhomogeneous-Resolution Pairs

Scale Space and Variational Methods in Computer Vision, p.275-287

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A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems

International journal of computer vision, 2015-11, Vol.115 (2), p.155-184

2015

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EmNeF: Neural Fields for Embedded Variational Problems in Imaging

Scale Space and Variational Methods in Computer Vision, p.137-148

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Discrete and Continuous Models for Partitioning Problems

International journal of computer vision, 2013-09, Vol.104 (3), p.241-269

2013

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A Matrix-Free Approach to Parallel and Memory-Efficient Deformable Image Registration

SIAM journal on scientific computing, 2018-01, Vol.40 (3), p.B858-B888

2018

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Imaging with Kantorovich--Rubinstein Discrepancy

SIAM journal on imaging sciences, 2014-01, Vol.7 (4), p.2833-2859

2014

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An Iterative Quantum Approach for Transformation Estimation from Point Sets

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.519-527

2022

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An Optimal Transport-Based Restoration Method for Q-Ball Imaging

Scale Space and Variational Methods in Computer Vision, p.271-282

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Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-06, Vol.9 (6), p.2554-2567

2016

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A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations

Scale Space and Variational Methods in Computer Vision, p.472-484

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Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds

SIAM journal on imaging sciences, 2023-01, Vol.16 (3), p.1440-1490

2023

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Computing Nonlinear Eigenfunctions via Gradient Flow Extinction

Scale Space and Variational Methods in Computer Vision, p.291-302

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A multi‐contrast MRI approach to thalamus segmentation

Human brain mapping, 2020-06, Vol.41 (8), p.2104-2120

2020

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Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case

Guest Editorial: Scale Space and Variational Methods

Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition

Classification of Pancreatic Ductal Adenocarcinoma Using MALDI Mass Spectrometry Imaging Combined with Neural Networks

Scale Space and Variational Methods in Computer Vision: 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings

Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging

An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising

A universal quantum algorithm for weighted maximum cut and Ising problems

Image Reconstruction with Imperfect Forward Models and Applications in Deblurring

Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting

Total Variation Regularization for Functions with Values in a Manifold

Functional Liftings of Vectorial Variational Problems with Laplacian Regularization

Variational Image Registration for Inhomogeneous-Resolution Pairs

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems

EmNeF: Neural Fields for Embedded Variational Problems in Imaging

Discrete and Continuous Models for Partitioning Problems

A Matrix-Free Approach to Parallel and Memory-Efficient Deformable Image Registration

Imaging with Kantorovich--Rubinstein Discrepancy

An Iterative Quantum Approach for Transformation Estimation from Point Sets

An Optimal Transport-Based Restoration Method for Q-Ball Imaging

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA

A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations

Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds

Computing Nonlinear Eigenfunctions via Gradient Flow Extinction

A multi‐contrast MRI approach to thalamus segmentation

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