Alexander Effland

Lukas Schletter

CoRR, May, 2026

Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods.

[BibT_eX]

[DOI]

Thomas Grandits

Francisco Sahli Costabal

Thomas Beiert

Simone Pezzuto

CoRR, May, 2026

Learned Finite Element-based Regularization of the Inverse Problem in Electrocardiographic Imaging.

[BibT_eX]

[DOI]

CoRR, February, 2026

A Posteriori Error Control for Nonconvex Problems via Calibration.

[BibT_eX]

[DOI]

SIAM J. Numer. Anal., 2026

2025

Finite Element-Based Space-Time Total-Variation-Type Regularization of the Inverse Problem in Electrocardiographic Imaging.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2025

Uncertainty Estimation for Learning-Based Classification of Corrupted Images.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2025

Volumetric Shape Clustering with Optimal Transport Distances.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

Equivariant Bootstrap for Uncertainty Quantification in Image Classification.

[BibT_eX]

[DOI]

Andreas Decker

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

FedPCE: Federated Personalized Client Embeddings for Post-training Knowledge Distillation.

[BibT_eX]

[DOI]

Soma Hansel

Proceedings of the Pattern Recognition - 47th DAGM German Conference, 2025

2024

Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., April, 2024

Optical Flow-Guided Cine MRI Segmentation With Learned Corrections.

[BibT_eX]

[DOI]

Antonio Ortiz-Gonzalez

Ulrike I. Attenberger

Julian A. Luetkens

Eduardo Bayro-Corrochano

IEEE Trans. Medical Imaging, March, 2024

Gadolinium dose reduction for brain MRI using conditional deep learning.

[BibT_eX]

[DOI]

CoRR, 2024

Shape of my heart: Cardiac models through learned signed distance functions.

[BibT_eX]

[DOI]

Thomas Grandits

Francisco Sahli Costabal

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Learning Diffusion Functions for Image Restoration.

[BibT_eX]

[DOI]

Joel Valdivia Ortega

Manuel Haas

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Combining CNNs and Markov-like Models for Facial Landmark Detection with Spatial Consistency Estimates.

[BibT_eX]

[DOI]

J. Imaging, 2023

Shape of my heart: Cardiac models through learned signed distance functions.

[BibT_eX]

[DOI]

Thomas Grandits

Francisco Sahli Costabal

CoRR, 2023

Lightweight Video Denoising using Aggregated Shifted Window Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Learned Discretization Schemes for the Second-Order Total Generalized Variation.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs.

[BibT_eX]

[DOI]

Thomas Pinetz

Robert Haase

Katerina Deike-Hofmann

Alexander Radbruch

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Total Deep Variation: A Stable Regularization Method for Inverse Problems.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learned Variational Video Color Propagation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Blind Single Image Super-Resolution via Iterated Shared Prior Learning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2022

2021

Shared Prior Learning of Energy-Based Models for Image Reconstruction.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2021

Image Morphing in Deep Feature Spaces: Theory and Applications.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2021

GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models.

[BibT_eX]

[DOI]

CoRR, 2021

Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020

Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds.

[BibT_eX]

[DOI]

Sebastian Neumayer

SIAM J. Imaging Sci., 2020

Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2020

Total Deep Variation: A Stable Regularizer for Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2020

Total Deep Variation for Linear Inverse Problems.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Consistent Curvature Approximation on Riemannian Shape Spaces.

[BibT_eX]

[DOI]

CoRR, 2019

An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.

[BibT_eX]

[DOI]

CoRR, 2019

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2019

Time Discrete Geodesics in Deep Feature Spaces for Image Morphing.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018

Image Extrapolation for the Time Discrete Metamorphosis Model: Existence and Applications.

[BibT_eX]

[DOI]

Florian Schäfer

SIAM J. Imaging Sci., 2018

Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

A posteriori error control for the binary Mumford-Shah model.

[BibT_eX]

[DOI]

Benjamin Berkels

Math. Comput., 2017

Time Discrete Extrapolation in a Riemannian Space of Images.

[BibT_eX]

[DOI]

Steffen Schmitz-Valckenberg

Florian Schäfer

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

GPU-Based Image Geodesics for Optical Coherence Tomography.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2015

Time Discrete Geodesic Paths in the Space of Images.

[BibT_eX]

[DOI]

Benjamin Berkels