Erich Kobler

Orcid: 0000-0001-5167-4804

According to our database¹, Erich Kobler authored at least 32 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Product of Gaussian Mixture Diffusion Models.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., August, 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

Alexander Effland

IEEE Trans. Medical Imaging, March, 2024

A variable metric proximal stochastic gradient method: An application to classification problems.

[BibT_eX]

[DOI]

EURO J. Comput. Optim., 2024

Efficient MedSAMs: Segment Anything in Medical Images on Laptop.

[BibT_eX]

[DOI]

Martha Foltyn-Dumitru

Jaeyoung Cho

Mustafa A. Mahmutoglu

Nikolaos Papanikolopoulos

CoRR, 2024

Gadolinium dose reduction for brain MRI using conditional deep learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Learning Gradually Non-convex Image Priors Using Score Matching.

[BibT_eX]

[DOI]

Erich Kobler

Thomas Pock

CoRR, 2023

Constrained and unconstrained deep image prior optimization models with automatic regularization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 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

Explicit Diffusion of Gaussian Mixture Model Based Image Priors.

[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

Erich Kobler

Robert Haase

Katerina Deike-Hofmann

Alexander Radbruch

Alexander Effland

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

Semi-supervised Brain Tumor Segmentation Using Diffusion Models.

[BibT_eX]

[DOI]

Ahmed Alshenoudy

Bertram Sabrowsky-Hirsch

Stefan Thumfart

Michael Giretzlehner

Erich Kobler

Proceedings of the Artificial Intelligence Applications and Innovations, 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

Computed Tomography Reconstruction using Generative Energy-Based Priors.

[BibT_eX]

[DOI]

Martin Zach

Erich Kobler

Thomas Pock

CoRR, 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

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

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

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2020

Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study.

[BibT_eX]

[DOI]

Herbert Alberto Vargas

Oguz Akin

CoRR, 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

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

Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018

Variational Deep Learning for Low-Dose Computed Tomography.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 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

Learning a Variational Network for Reconstruction of Accelerated MRI Data.

[BibT_eX]

[DOI]

CoRR, 2017

Variational Networks: Connecting Variational Methods and Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 39th German Conference, 2017

Trainable Regularization for Multi-frame Superresolution.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 39th German Conference, 2017

Erich Kobler

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