Erich Kobler

47 papers A* 2A 1Misc 1Journal 29Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Symbol-Equivariant Recurrent Reasoning Models.
CoRR
Richard Freinschlag, Timo Bertram, Erich Kobler, Andreas Mayr, Günter Klambauer
2025 A* conf
DEALing with Image Reconstruction: Deep Attentive Least Squares.
ICML
Mehrsa Pourya, Erich Kobler, Michael Unser, Sebastian Neumayer
2025 J jnl
DEALing with Image Reconstruction: Deep Attentive Least Squares.
CoRR
Mehrsa Pourya, Erich Kobler, Michael Unser, Sebastian Neumayer
2025 — conf
Equivariant Bootstrap for Uncertainty Quantification in Image Classification.
SSVM (1)
Andreas Decker, Alexander Effland, Erich Kobler
2025 — conf
FedPCE: Federated Personalized Client Embeddings for Post-training Knowledge Distillation.
DAGM GCPR
Soma Hansel, Erich Kobler, Alexander Effland
2025 J jnl
Learning Regularization Functionals for Inverse Problems: A Comparative Study.
CoRR
Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer
2025 — conf
Synthesizing Accurate and Realistic T1-Weighted Contrast-Enhanced MR Images Using Posterior-Mean Rectified Flow.
SASHIMI@MICCAI 2025
Bastian Brandstötter, Erich Kobler
2025 J jnl
Synthesizing Accurate and Realistic T1-weighted Contrast-Enhanced MR Images using Posterior-Mean Rectified Flow.
CoRR
Bastian Brandstötter, Erich Kobler
2025 J jnl
Uncertainty Estimation for Learning-Based Classification of Corrupted Images.
SIAM J. Imaging Sci.
Alexander Effland, Erich Kobler, Marcelo Pereyra, J. Peter
2024 J jnl
A variable metric proximal stochastic gradient method: An application to classification problems.
EURO J. Comput. Optim.
Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
2024 J jnl
Efficient MedSAMs: Segment Anything in Medical Images on Laptop.
CoRR
Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher J. Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang
2024 J jnl
Gadolinium dose reduction for brain MRI using conditional deep learning.
CoRR
Thomas Pinetz, Erich Kobler, Robert Haase, Julian A. Luetkens, Mathias Meetschen, Johannes Haubold, Cornelius Deuschl, Alexander Radbruch, Katerina Deike, Alexander Effland
2024 J jnl
Optical Flow-Guided Cine MRI Segmentation With Learned Corrections.
IEEE Trans. Medical Imaging
Antonio Ortiz-Gonzalez, Erich Kobler, Stefan Simon, Leon Bischoff, Sebastian Nowak, Alexander Isaak, Wolfgang Block, Alois M. Sprinkart, Ulrike I. Attenberger, Julian A. Luetkens, Eduardo Bayro-Corrochano, Alexander Effland
2024 J jnl
Product of Gaussian Mixture Diffusion Models.
J. Math. Imaging Vis.
Martin Zach, Erich Kobler, Antonin Chambolle, Thomas Pock
2023 J jnl
Constrained and unconstrained deep image prior optimization models with automatic regularization.
Comput. Optim. Appl.
Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
2023 — conf
Explicit Diffusion of Gaussian Mixture Model Based Image Priors.
SSVM
Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
2023 J jnl
Explicit Diffusion of Gaussian Mixture Model Based Image Priors.
CoRR
Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
2023 — conf
Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs.
MICCAI (2)
Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland
2023 J jnl
Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs.
CoRR
Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland
2023 J jnl
Learning Gradually Non-convex Image Priors Using Score Matching.
CoRR
Erich Kobler, Thomas Pock
2023 A conf
Lightweight Video Denoising using Aggregated Shifted Window Attention.
WACV
Lydia Lindner, Alexander Effland, Filip Ilic, Thomas Pock, Erich Kobler
2023 — conf
Semi-supervised Brain Tumor Segmentation Using Diffusion Models.
AIAI (1)
Ahmed Alshenoudy, Bertram Sabrowsky-Hirsch, Stefan Thumfart, Michael Giretzlehner, Erich Kobler
2022 J jnl
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
IEEE Trans. Medical Imaging
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2022 — conf
Blind Single Image Super-Resolution via Iterated Shared Prior Learning.
GCPR
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2022 J jnl
Computed Tomography Reconstruction using Generative Energy-Based Priors.
CoRR
Martin Zach, Erich Kobler, Thomas Pock
2022 — conf
Learned Variational Video Color Propagation.
ECCV (23)
Markus Hofinger, Erich Kobler, Alexander Effland, Thomas Pock
2022 J jnl
Total Deep Variation: A Stable Regularization Method for Inverse Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2021 J jnl
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
CoRR
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2021 J jnl
Image Morphing in Deep Feature Spaces: Theory and Applications.
J. Math. Imaging Vis.
Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic, Martin Rumpf
2021 J jnl
Shared Prior Learning of Energy-Based Models for Image Reconstruction.
SIAM J. Imaging Sci.
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2021 — conf
Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy.
SSVM
Thomas Pinetz, Erich Kobler, Christian Doberstein, Benjamin Berkels, Alexander Effland
2020 J jnl
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study.
CoRR
Elena A. Kaye, Emily A. Aherne, Cihan Duzgol, Ida Häggström, Erich Kobler, Yousef Mazaheri, Maggie M. Fung, Zhigang Zhang, Ricardo Otazo, Herbert Alberto Vargas, Oguz Akin
2020 J jnl
Shared Prior Learning of Energy-Based Models for Image Reconstruction.
CoRR
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2020 A* conf
Total Deep Variation for Linear Inverse Problems.
CVPR
Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020 J jnl
Total Deep Variation for Linear Inverse Problems.
CoRR
Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020 J jnl
Total Deep Variation: A Stable Regularizer for Inverse Problems.
CoRR
Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020 J jnl
Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.
J. Math. Imaging Vis.
Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock
2019 J jnl
An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.
CoRR
Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock
2019 J jnl
Image Morphing in Deep Feature Spaces: Theory and Applications.
CoRR
Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic, Martin Rumpf
2019 — conf
Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions.
MLMIR@MICCAI
Patricia M. Johnson, Matthew J. Muckley, Mary Bruno, Erich Kobler, Kerstin Hammernik, Thomas Pock, Florian Knoll
2019 J jnl
Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data.
Int. J. Comput. Assist. Radiol. Surg.
Alexander Effland, Erich Kobler, Anne Brandenburg, Teresa Klatzer, Leonie Neuhäuser, Michael Hölzel, Jennifer Landsberg, Thomas Pock, Martin Rumpf
2019 — conf
Time Discrete Geodesics in Deep Feature Spaces for Image Morphing.
SSVM
Alexander Effland, Erich Kobler, Thomas Pock, Martin Rumpf
2018 Misc conf
Variational Deep Learning for Low-Dose Computed Tomography.
ICASSP
Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo
2018 — conf
Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections.
Bildverarbeitung für die Medizin
Alexander Effland, Michael Hölzel, Teresa Klatzer, Erich Kobler, Jennifer Landsberg, Leonie Neuhäuser, Thomas Pock, Martin Rumpf
2017 J jnl
Learning a Variational Network for Reconstruction of Accelerated MRI Data.
CoRR
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll
2017 — conf
Trainable Regularization for Multi-frame Superresolution.
GCPR
Teresa Klatzer, Daniel Soukup, Erich Kobler, Kerstin Hammernik, Thomas Pock
2017 — conf
Variational Networks: Connecting Variational Methods and Deep Learning.
GCPR
Erich Kobler, Teresa Klatzer, Kerstin Hammernik, Thomas Pock