Publications | Artificial Intelligence and Medical Imaging

2026

From Natural Language to Exact Cover: A Neuro-Symbolic Approach to Zebra Puzzles

Paulis Skaisgiris, Thomas Pammer, Veronika Semmelrock, and 3 more authors

In ICLR 2026 Workshop on Logical Reasoning of Large Language Models, 2026

@inproceedings{skaisgiris2026fromnatu,
  author = {Skaisgiris, Paulis and Pammer, Thomas and Semmelrock, Veronika and Ielanskyi, Mykyta and Heisinger, Maximilian and Kobler, Erich},
  title = {From Natural Language to Exact Cover: A Neuro-Symbolic Approach to Zebra Puzzles},
  year = {2026},
  booktitle = {ICLR 2026 Workshop on Logical Reasoning of Large Language Models}
}

Symbol-Equivariant Recurrent Reasoning Models

Richard Freinschlag, Timo Bertram, Erich Kobler, and 2 more authors

2026

Bib PDF

@misc{freinschlag2026symboleq,
  author = {Freinschlag, Richard and Bertram, Timo and Kobler, Erich and Mayr, Andreas and Klambauer, Günter},
  title = {Symbol-Equivariant Recurrent Reasoning Models},
  year = {2026},
}

2025

Artificial T1-Weighted Postcontrast Brain MRI A Deep Learning Method for Contrast Signal Extraction

Robert Haase, Thomas Pinetz, Erich Kobler, and 6 more authors

Investigative Radiology, 2025

Bib PDF

@article{haase2025artifici,
  author = {Haase, Robert and Pinetz, Thomas and Kobler, Erich and Bendella, Zeynep and Gronemann, Christian and Paech, Daniel and Radbruch, Alexander and Effland, Alexander and Deike, Katerina},
  title = {Artificial T1-Weighted Postcontrast Brain MRI A Deep Learning Method for Contrast Signal Extraction},
  year = {2025},
  volume = {60},
  number = {2},
  journal = {Investigative Radiology}
}

Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI

Robert Haase, Thomas Pinetz, Erich Kobler, and 15 more authors

Investigative Radiology, 2025

Bib PDF

@article{haase2025metastas,
  author = {Haase, Robert and Pinetz, Thomas and Kobler, Erich and Bendella, Zeynep and Paech, Daniel and Clauberg, Ralf and Foltyn-Dumitru, Martha and Wagner, Verena and Schlamp, Kai and Heussel, Gudula and Heussel, Claus Peter and Vahlensieck, Martin and Luetkens, Julian A. and Schlemmer, Heinz Peter and Specht-Riemenschneider, Louisa and Radbruch, Alexander and Effland, Alexander and Deike, Katerina},
  title = {Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI},
  year = {2025},
  volume = {60},
  number = {5},
  journal = {Investigative Radiology}
}

DEALing with Image Reconstruction: Deep Attentive Least Squares

Mehrsa Pourya, Erich Kobler, Michael Unser, and 1 more author

2025

Bib PDF Code

@misc{pourya2025dealingw,
  author = {Pourya, Mehrsa and Kobler, Erich and Unser, Michael and Neumayer, Sebastian},
  title = {DEALing with Image Reconstruction: Deep Attentive Least Squares},
  year = {2025},
}

Differential contrast enhancement using conditional deep learning for Gadolinium dose reduction in brain MR

Thomas Pinetz, Erich Kobler, Robert Haase, and 7 more authors

In Medical Imaging with Deep Learning – MIDL 2024 Short Papers, 2025

Bib

@inproceedings{pinetz2025differen,
  author = {Pinetz, Thomas and Kobler, Erich and Haase, Robert and Luetkens, Julian A. and Meetschen, Mathias and Haubold, Johannes and Deuschl, Cornelius and Radbruch, Alexander and Deike-Homann, Katerina and Effland, Alexander},
  title = {Differential contrast enhancement using conditional deep learning for Gadolinium dose reduction in brain MR},
  year = {2025},
  booktitle = {Medical Imaging with Deep Learning – MIDL 2024 Short Papers}
}

Deep learning for realistic synthesis of 3D contrast-enhanced MRI from non-contrast MRI volumes

Bastian Brandstötter

2025

Bib

2024

Periprosthetic Radiolucency in Total Wrist Arthroplasty: A Radiographic Study

Holzbauer Matthias, W Raher, Erich Kobler, and 1 more author

Journal of Hand Surgery-European Volume, 2024

Bib PDF

@article{matthias2024peripros,
  author = {Matthias, Holzbauer and Raher, W and Kobler, Erich and Froschauer, Stefan},
  title = {Periprosthetic Radiolucency in Total Wrist Arthroplasty: A Radiographic Study},
  year = {2024},
  volume = {49},
  number = {9},
  journal = {Journal of Hand Surgery-European Volume}
}

Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study

Aditya Rastogi, Gianluca Brugnara, Martha Foltyn-Dumitru, and 26 more authors

The Lancet Oncology, 2024

Bib PDF

@article{rastogi2024deeplear,
  author = {Rastogi, Aditya and Brugnara, Gianluca and Foltyn-Dumitru, Martha and Mahmutoglu, Mustafa Ahmed and Preetha, Chandrakanth J. and Kobler, Erich and Pflüger, Irada and Schell, Marianne and Deike-Hofmann, Katerina and Kessler, Tobias and van den Bent, Martin J. and Idbaih, Ahmed and Platten, Michael and Brandes, Alba A. and Nabors, Burt and Stupp, Roger and Bernhardt, Denise and Debus, Jürgen and Abdollahi, Amir and Gorlia, Thierry and Tonn, Jörg Christian and Weller, Michael and Maier-Hein, Klaus H. and Radbruch, Alexander and Wick, Wolfgang and Bendszus, Martin and Meredig, Hagen and Kurz, Felix T. and Vollmuth, Philipp},
  title = {Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study},
  year = {2024},
  volume = {25},
  number = {3},
  journal = {The Lancet Oncology}
}

Gadolinium dose reduction for brain MRI using conditional deep learning

Thomas Pinetz, Erich Kobler, Robert Haase, and 7 more authors

2024

Bib PDF

@misc{pinetz2024gadolini,
  author = {Pinetz, Thomas and Kobler, Erich and Haase, Robert and Luetkens, Julian A. and Meetschen, Mathias and Haubold, Johannes and Deuschl, Cornelius and Radbruch, Alexander and Deike, Katerina and Effland, Alexander},
  title = {Gadolinium dose reduction for brain MRI using conditional deep learning},
  year = {2024},
}

Optical Flow-Guided Cine MRI Segmentation With Learned Corrections

Antonio Ortiz-Gonzalez, Erich Kobler, Stefan Simon, and 9 more authors

IEEE Transactions on Medical Imaging, 2024

Bib PDF

@article{ortizgonzalez2024opticalf,
  author = {Ortiz-Gonzalez, Antonio and Kobler, Erich and Simon, Stefan and Bischoff, Leon and Nowak, Sebastian and Isaak, Alexander and Block, Wolfgang and Sprinkart, Alois M. and Attenberger, Ulrike and Luetkens, Julian A. and Bayro-Corrochano, Eduardo and Effland, Alexander},
  title = {Optical Flow-Guided Cine MRI Segmentation With Learned Corrections},
  year = {2024},
  volume = {43},
  number = {3},
  journal = {IEEE Transactions on Medical Imaging}
}

Product of Gaussian Mixture Diffusion Models

Martin Zach, Erich Kobler, Antonin Chambolle, and 1 more author

Journal of Mathematical Imaging and Vision, 2024

Bib PDF

@article{zach2024producto,
  author = {Zach, Martin and Kobler, Erich and Chambolle, Antonin and Pock, Thomas},
  title = {Product of Gaussian Mixture Diffusion Models},
  year = {2024},
  volume = {66},
  number = {4},
  journal = {Journal of Mathematical Imaging and Vision}
}

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

Pasquale Cascarano, Giorgia Franchini, Erich Kobler, and 2 more authors

EURO Journal on Computational Optimization, 2024

Bib PDF

@article{cascarano2024avariabl,
  author = {Cascarano, Pasquale and Franchini, Giorgia and Kobler, Erich and Porta, Federica and Sebastiani, Andrea},
  title = {A variable metric proximal stochastic gradient method: An application to classification problems},
  year = {2024},
  volume = {12},
  journal = {EURO Journal on Computational Optimization}
}

Detektion von Hirnmetastasen auf künstlichen kontrastmittelverstärkten T1-gewichteten MRT-Bildern nach Gabe einer reduzierten Dosis gadoliniumhaltiger Kontrastmittel

Robert Haase, Thomas Pinetz, Erich Kobler, and 6 more authors

RöFo: Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 2024

Bib PDF

@article{haase2024detektio,
  author = {Haase, Robert and Pinetz, Thomas and Kobler, Erich and Bendella, Zeynep and Paech, Daniel and Clauberg, Ralf and Effland, Alexander and Radbruch, Alexander and Deike-Hofmann, Katerina},
  title = {Detektion von Hirnmetastasen auf künstlichen kontrastmittelverstärkten T1-gewichteten MRT-Bildern nach Gabe einer reduzierten Dosis gadoliniumhaltiger Kontrastmittel},
  year = {2024},
  volume = {196},
  journal = {RöFo: Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren}
}

FedPCE: Federated Personalized Client Embeddings

Soma Hansel, Erich Kobler, and Alexander Effland

In ICLR 2025 – International Conference on Learning Representations (eingereicht über OpenReview), 2024

Bib

@inproceedings{hansel2024fedpcefe,
  author = {Hansel, Soma and Kobler, Erich and Effland, Alexander},
  title = {FedPCE: Federated Personalized Client Embeddings},
  year = {2024},
  booktitle = {ICLR 2025 – International Conference on Learning Representations (eingereicht über OpenReview)}
}

Efficient MedSAMs: Segment Anything in Medical Images on Laptop

Jun Ma, Feifei Li, Sumin Kim, and 79 more authors

2024

Bib PDF

@misc{ma2024efficien,
  author = {Ma, Jun and Li, Feifei and Kim, Sumin and Asakereh, Reza and Le, Bao-Hiep and Nguyen-Vu, Dang-Khoa and Pfefferle, Alexander and Wei, Muxin and Gao, Ruochen and Lyu, Donghang and Yang, Songxiao and Purucker, Lennart and Marinov, Zdravko and Staring, Marius and Lu, Haisheng and Dao, Thuy Thanh and Ye, Xincheng and Li, Zhi and Brugnara, Gianluca and Vollmuth, Philipp and Foltyn-Dumitru, Martha and Cho, Jaeyoung and Mahmutoglu, Mustafa Ahmed and Bendszus, Martin and Pflüger, Irada and Rastogi, Aditya and Ni, Dong and Yang, Xin and Zhou, Guang-Quan and Wang, Kaini and Heller, Nicholas and Papanikolopoulos, Nikolaos and Weight, Christopher and Tong, Yubing and Udupa, Jayaram K. and Patrick, Cahill J. and Wang, Yaqi and Zhang, Yifan and Contijoch, Francisco and McVeigh, Elliot and Ye, Xin and He, Shucheng and Haase, Robert and Pinetz, Thomas and Radbruch, Alexander and Krause, Inga and Kobler, Erich and He, Jian and Tang, Yucheng and Yang, Haichun and Huo, Yuankai and Luo, Gongning and Kushibar, Kaisar and Amankulov, Jandos and Toleshbayev, Dias and Mukhamejan, Amangeldi and Egger, Jan and Pepe, Antonio and Gsaxner, Christina and Luijten, Gijs and Fujita, Shohei and Kikuchi, Tomohiro and Wiestler, Benedikt and Kirschke, Jan S. and de la Rosa, Ezequiel and Bolelli, Federico and Lumetti, Luca and Grana, Costantino and Xie, Kunpeng and Wu, Guomin and Puladi, Behrus and Martín-Isla, Carlos and Lekadir, Karim and Campello, Victor M. and Shao, Wei and Brisbane, Wayne and Jiang, Hongxu and Wei, Hao and Yuan, Wu and Li, Shuangle and Zhou, Yuyin and Wang, Bo},
  title = {Efficient MedSAMs: Segment Anything in Medical Images on Laptop  },
  year = {2024},
}

2023

Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols: Limited Interchangeability of Synthesized Sequences with Original Full-Dose Images Despite Excellent Quantitative Performance

Robert Haase, Thomas Pinetz, Zeynep Bendella, and 6 more authors

Investigative Radiology, 2023

Bib PDF

@article{haase2023reductio,
  author = {Haase, Robert and Pinetz, Thomas and Bendella, Zeynep and Kobler, Erich and Paech, Daniel and Block, Wolfgang and Effland, Alexander and Radbruch, Alexander and Deike-Hofmann, Katerina},
  title = {Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols: Limited Interchangeability of Synthesized Sequences with Original Full-Dose Images Despite Excellent Quantitative Performance},
  year = {2023},
  volume = {58},
  number = {6},
  journal = {Investigative Radiology}
}

Constrained and unconstrained deep image prior optimization models with automatic regularization

Pasquale Cascarano, Giorgia Franchini, Erich Kobler, and 2 more authors

Computational Optimization and Applications, 2023

Bib PDF Code

@article{cascarano2023constrai,
  author = {Cascarano, Pasquale and Franchini, Giorgia and Kobler, Erich and Porta, Federica and Sebastiani, Andrea},
  title = {Constrained and unconstrained deep image prior optimization models with automatic regularization},
  year = {2023},
  volume = {84},
  number = {1},
  journal = {Computational Optimization and Applications}
}

Artificial Contrast: Deep Learning for Reducing Gadolinium-Based Contrast Agents in Neuroradiology

Robert Haase, Thomas Pinetz, Erich Kobler, and 4 more authors

Investigative Radiology, 2023

Bib PDF

@article{haase2023artifici,
  author = {Haase, Robert and Pinetz, Thomas and Kobler, Erich and Paech, Daniel and Effland, Alexander and Radbruch, Alexander and Deike-Hofmann, Katerina},
  title = {Artificial Contrast: Deep Learning for Reducing Gadolinium-Based Contrast Agents in Neuroradiology},
  year = {2023},
  volume = {58},
  number = {8},
  journal = {Investigative Radiology}
}

Semi-supervised Brain Tumor Segmentation Using Diffusion Models

Ahmed Alshenoudy, Bertram Sabrowsky-Hirsch, Stefan Thumfart, and 2 more authors

In Artificial Intelligence Applications and Innovations, 2023

Bib PDF

@inproceedings{alshenoudy2023semisupe,
  author = {Alshenoudy, Ahmed and Sabrowsky-Hirsch, Bertram and Thumfart, Stefan and Giretzlehner, Michael and Kobler, Erich},
  title = {Semi-supervised Brain Tumor Segmentation Using Diffusion Models},
  year = {2023},
  booktitle = {Artificial Intelligence Applications and Innovations}
}

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

Thomas Pinetz, Erich Kobler, Robert Haase, and 3 more authors

In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings, 2023

Bib PDF

@inproceedings{pinetz2023faithful,
  author = {Pinetz, Thomas and Kobler, Erich and Haase, Robert and Deike-Hofmann, Katerina and Radbruch, Alexander and Effland, Alexander},
  title = {Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs},
  year = {2023},
  booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings}
}

Explicit Diffusion of Gaussian Mixture Model Based Image Priors

Martin Zach, Thomas Pock, Erich Kobler, and 1 more author

In Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings, 2023

Bib PDF

@inproceedings{zach2023explicit,
  author = {Zach, Martin and Pock, Thomas and Kobler, Erich and Chambolle, Antonin},
  title = {Explicit Diffusion of Gaussian Mixture Model Based Image Priors},
  year = {2023},
  booktitle = {Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings}
}

Lightweight Video Denoising using Aggregated Shifted Window Attention

Lydia Lindner, Alexander Effland, Filip Ilic, and 2 more authors

In 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023

Bib PDF

@inproceedings{lindner2023lightwei,
  author = {Lindner, Lydia and Effland, Alexander and Ilic, Filip and Pock, Thomas and Kobler, Erich},
  title = {Lightweight Video Denoising using Aggregated Shifted Window Attention},
  year = {2023},
  booktitle = {2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}
}

Learning Gradually Non-convex Image Priors Using Score Matching

Erich Kobler and Thomas Pock

2023

Bib PDF

2022

Total Deep Variation: A Stable Regularization Method for Inverse Problems

Erich Kobler, Alexander Effland, Karl Kunisch, and 1 more author

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

Bib PDF Code

@article{kobler2022totaldee,
  author = {Kobler, Erich and Effland, Alexander and Kunisch, Karl and Pock, Thomas},
  title = {Total Deep Variation: A Stable Regularization Method for Inverse Problems},
  year = {2022},
  volume = {44},
  number = {12},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}
}

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction

Dominik Narnhofer, Alexander Effland, Erich Kobler, and 3 more authors

IEEE Transactions on Medical Imaging, 2022

Bib PDF

@article{narnhofer2022bayesian,
  author = {Narnhofer, Dominik and Effland, Alexander and Kobler, Erich and Hammernik, Kerstin and Knoll, Florian and Pock, Thomas},
  title = {Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction},
  year = {2022},
  volume = {41},
  number = {2},
  journal = {IEEE Transactions on Medical Imaging}
}

Computed Tomography Reconstruction using Generative Energy-Based Priors

Martin Zach, Erich Kobler, and Thomas Pock

2022

Bib PDF

A joint alignment and reconstruction algorithm for electron tomography to visualize in-depth cell-to-cell interactions

Lea Bogensperger, Erich Kobler, Dominique Pernitsch, and 4 more authors

Histochemistry and Cell Biology, 2022

Bib PDF

@article{bogensperger2022ajointal,
  author = {Bogensperger, Lea and Kobler, Erich and Pernitsch, Dominique and Kotzbeck, Petra and Pieber, Thomas R. and Pock, Thomas and Kolb, Dagmar},
  title = {A joint alignment and reconstruction algorithm for electron tomography to visualize in-depth cell-to-cell interactions},
  year = {2022},
  volume = {157},
  number = {6},
  journal = {Histochemistry and Cell Biology}
}

Learned Variational Video Color Propagation

Markus Hofinger, Erich Kobler, Alexander Effland, and 1 more author

In Computer Vision – ECCV 2022 - 17th European Conference, 2022, Proceedings, 2022

Bib PDF Code

@inproceedings{hofinger2022learnedv,
  author = {Hofinger, Markus and Kobler, Erich and Effland, Alexander and Pock, Thomas},
  title = {Learned Variational Video Color Propagation},
  year = {2022},
  booktitle = {Computer Vision – ECCV 2022 - 17th European Conference, 2022, Proceedings}
}

Blind Single Image Super-Resolution via Iterated Shared Prior Learning

Thomas Pinetz, Erich Kobler, Thomas Pock, and 1 more author

In Pattern Recognition - 44th DAGM German Conference, DAGM GCPR 2022, Proceedings, 2022

Bib PDF

@inproceedings{pinetz2022blindsin,
  author = {Pinetz, Thomas and Kobler, Erich and Pock, Thomas and Effland, Alexander},
  title = {Blind Single Image Super-Resolution via Iterated Shared Prior Learning},
  year = {2022},
  booktitle = {Pattern Recognition - 44th DAGM German Conference, DAGM GCPR 2022, Proceedings}
}

2021

Image Morphing in Deep Feature Spaces: Theory and Applications

Alexander Effland, Erich Kobler, Thomas Pock, and 2 more authors

Journal of Mathematical Imaging and Vision, 2021

Bib PDF

@article{effland2021imagemor,
  author = {Effland, Alexander and Kobler, Erich and Pock, Thomas and Rajković, Marko and Rumpf, Martin},
  title = {Image Morphing in Deep Feature Spaces: Theory and Applications},
  year = {2021},
  volume = {63},
  number = {2},
  journal = {Journal of Mathematical Imaging and Vision}
}

Shared Prior Learning of Energy-Based Models for Image Reconstruction

Thomas Pinetz, Erich Kobler, Thomas Pock, and 1 more author

SIAM Journal on Imaging Sciences, 2021

Bib PDF

@article{pinetz2021sharedpr,
  author = {Pinetz, Thomas and Kobler, Erich and Pock, Thomas and Effland, Alexander},
  title = {Shared Prior Learning of Energy-Based Models for Image Reconstruction},
  year = {2021},
  volume = {14},
  number = {4},
  journal = {SIAM Journal on Imaging Sciences}
}

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

Thomas Pinetz, Erich Kobler, Christian Doberstein, and 2 more authors

In Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings, 2021

Bib PDF

@inproceedings{pinetz2021totaldee,
  author = {Pinetz, Thomas and Kobler, Erich and Doberstein, Christian and Berkels, Benjamin and Effland, Alexander},
  title = {Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy},
  year = {2021},
  booktitle = {Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings}
}

2020

Total deep variation for linear inverse problems

Erich Kobler, Alexander Effland, Karl Kunisch, and 1 more author

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

Bib PDF

@article{kobler2020totaldee,
  author = {Kobler, Erich and Effland, Alexander and Kunisch, Karl and Pock, Thomas},
  title = {Total deep variation for linear inverse problems},
  year = {2020},
  journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition}
}

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

Alexander Effland, Erich Kobler, Karl Kunisch, and 1 more author

Journal of Mathematical Imaging and Vision, 2020

Bib PDF

@article{effland2020variatio,
  author = {Effland, Alexander and Kobler, Erich and Kunisch, Karl and Pock, Thomas},
  title = {Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration},
  year = {2020},
  volume = {62},
  number = {3},
  journal = {Journal of Mathematical Imaging and Vision}
}

Accelerating prostate diffusion-weighted MRI using a guided denoising convolutional neural network: Retrospective feasibility study

Elena A. Kaye, Emily A. Aherne, Cihan Duzgol, and 8 more authors

Radiology: Artificial Intelligence, 2020

Bib PDF

@article{kaye2020accelera,
  author = {Kaye, Elena A. and Aherne, Emily A. and Duzgol, Cihan and Häggström, Ida and Kobler, Erich and Mazaheri, Yousef and Fung, Maggie M. and Zhang, Zhigang and Otazo, Ricardo and Vargas, Hebert A. and Akin, Oguz},
  title = {Accelerating prostate diffusion-weighted MRI using a guided denoising convolutional neural network: Retrospective feasibility study},
  year = {2020},
  volume = {2},
  number = {5},
  journal = {Radiology: Artificial Intelligence}
}

Real-world video restoration using noise2noise

Martin Zach and Erich Kobler

In Proceedings of the Joint Austrian Computer Vision and Robotics Workshop 2020, 2020

Bib PDF

@inproceedings{zach2020realworl,
  author = {Zach, Martin and Kobler, Erich},
  title = {Real-world video restoration using noise2noise},
  year = {2020},
  booktitle = {Proceedings of the Joint Austrian Computer Vision and Robotics Workshop 2020}
}

Total deep variation for SparseCT reconstruction

Erich Kobler, Baiyu Chen, Alexander Effland, and 3 more authors

In Proceedings of the 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020

Bib

@inproceedings{kobler2020totaldef,
  author = {Kobler, Erich and Chen, Baiyu and Effland, Alexander and Pock, Thomas and Sodickson, Daniel and Otazo, Ricardo},
  title = {Total deep variation for SparseCT reconstruction},
  year = {2020},
  booktitle = {Proceedings of the 6th International Conference on Image Formation in X-Ray Computed Tomography}
}

2019

SparseCT: System concept and design of multislit collimators

Baiyu Chen, Erich Kobler, Matthew J. Muckley, and 6 more authors

Medical Physics, 2019

Bib PDF

@article{chen2019sparsect,
  author = {Chen, Baiyu and Kobler, Erich and Muckley, Matthew J. and Sodickson, Aaron D. and O'Donnell, Thomas and Flohr, Thomas and Schmidt, Bernhard and Sodickson, Daniel K. and Otazo, Ricardo},
  title = {SparseCT: System concept and design of multislit collimators},
  year = {2019},
  volume = {46},
  number = {6},
  journal = {Medical Physics}
}

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

Alexander Effland, Erich Kobler, Anne Brandenburg, and 6 more authors

International Journal of Computer Assisted Radiology and Surgery, 2019

Bib PDF

@article{effland2019jointrec,
  author = {Effland, Alexander and Kobler, Erich and Brandenburg, Anne and Klatzer, Teresa and Neuhäuser, Leonie and Hölzel, Michael and Landsberg, Jennifer and Pock, Thomas and Rumpf, Martin},
  title = {Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data},
  year = {2019},
  volume = {14},
  number = {4},
  journal = {International Journal of Computer Assisted Radiology and Surgery}
}

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

Patricia M. Johnson, Matthew J. Muckley, Mary Bruno, and 4 more authors

In Machine Learning for Medical Image Reconstruction, 2019

Bib PDF

@inproceedings{johnson2019jointmul,
  author = {Johnson, Patricia M. and Muckley, Matthew J. and Bruno, Mary and Kobler, Erich and Hammernik, Kerstin and Pock, Thomas and Knoll, Florian},
  title = {Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions},
  year = {2019},
  booktitle = {Machine Learning for Medical Image Reconstruction}
}

Time Discrete Geodesics in Deep Feature Spaces for Image Morphing

Alexander Effland, Erich Kobler, Thomas Pock, and 1 more author

In Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings, 2019

Bib PDF

@inproceedings{effland2019timedisc,
  author = {Effland, Alexander and Kobler, Erich and Pock, Thomas and Rumpf, Martin},
  title = {Time Discrete Geodesics in Deep Feature Spaces for Image Morphing},
  year = {2019},
  booktitle = {Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings}
}

Dynamic multicoil reconstruction using variational networks

Kerstin Hammernik, Matthias Schloegl, Erich Kobler, and 2 more authors

In ISMRM 2019 Proceedings, 2019

Bib

@inproceedings{hammernik2019dynamicm,
  author = {Hammernik, Kerstin and Schloegl, Matthias and Kobler, Erich and Stollberger, Rudolf and Pock, Thomas},
  title = {Dynamic multicoil reconstruction using variational networks},
  year = {2019},
  booktitle = {ISMRM 2019 Proceedings}
}

Effect of Multislit Collimator Motion On SparseCT Image Quality for Low-Dose CT Examinations

Baiyu Chen, Erich Kobler, Thomas Allmendinger, and 3 more authors

In Medical Physics – AAPM 61st Annual Meeting & Exhibition Abstract Proceedings, 2019

Bib PDF

@inproceedings{chen2019effectof,
  author = {Chen, Baiyu and Kobler, Erich and Allmendinger, Thomas and Sodickson, Aaron D. and Sodickson, Daniel K. and Otazo, Ricardo},
  title = {Effect of Multislit Collimator Motion On SparseCT Image Quality for Low-Dose CT Examinations},
  year = {2019},
  booktitle = {Medical Physics – AAPM 61st Annual Meeting &amp; Exhibition Abstract Proceedings}
}

2018

Assessment of the generalization of learned image reconstruction and the potential for transfer learning

Florian Knoll, Kerstin Hammernik, Erich Kobler, and 3 more authors

Magnetic Resonance in Medicine, 2018

Bib PDF

@article{knoll2018assessme,
  author = {Knoll, Florian and Hammernik, Kerstin and Kobler, Erich and Pock, Thomas and Recht, Michael P. and Sodickson, Daniel K.},
  title = {Assessment of the generalization of learned image reconstruction and the potential for transfer learning},
  year = {2018},
  volume = {81},
  number = {1},
  journal = {Magnetic Resonance in Medicine}
}

Variational Deep Learning for Low-Dose Computed Tomography

Erich Kobler, Matthew Muckley, Baiyu Chen, and 5 more authors

In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings, 2018

Bib PDF

@inproceedings{kobler2018variatio,
  author = {Kobler, Erich and Muckley, Matthew and Chen, Baiyu and Knoll, Florian and Hammernik, Kerstin and Pock, Thomas and Sodickson, Daniel and Otazo, Ricardo},
  title = {Variational Deep Learning for Low-Dose Computed Tomography},
  year = {2018},
  booktitle = {2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings}
}

Variational networks for joint image reconstruction and classification of tumor immune cell interactions in melanoma tissue sections

Alexander Effland, Michael Hölzel, Teresa Klatzer, and 5 more authors

In Bildverarbeitung für die Medizin 2018 Algorithmen - Systeme - Anwendungen, 2018

Bib PDF

@inproceedings{effland2018variatio,
  author = {Effland, Alexander and Hölzel, Michael and Klatzer, Teresa and Kobler, Erich and Landsberg, Jennifer and Neuhäuser, Leonie and Pock, Thomas and Rumpf, Martin},
  title = {Variational networks for joint image reconstruction and classification of tumor immune cell interactions in melanoma tissue sections},
  year = {2018},
  booktitle = {Bildverarbeitung für die Medizin 2018 Algorithmen - Systeme - Anwendungen}
}

Variational adversarial networks for accelerated MR image reconstruction

Kerstin Hammernik, Erich Kobler, Thomas Pock, and 3 more authors

In ISMRM-ESMRMB 2018 Abstracts, 2018

Bib

@inproceedings{hammernik2018variatio,
  author = {Hammernik, Kerstin and Kobler, Erich and Pock, Thomas and Recht, Michael P and Sodickson, Daniel K and Knoll, Florian},
  title = {Variational adversarial networks for accelerated MR image reconstruction},
  year = {2018},
  booktitle = {ISMRM-ESMRMB 2018 Abstracts}
}

Analysis of the influence of deviations between training and test data in learned image reconstruction

Florian Knoll, Kerstin Hammernik, Erich Kobler, and 3 more authors

In ISMRM Workshop on Machine Learning, 2018

Bib

@inproceedings{knoll2018analysis,
  author = {Knoll, Florian and Hammernik, Kerstin and Kobler, Erich and Pock, Thomas and Sodickson, Daniel K. and Recht, Michael P.},
  title = {Analysis of the influence of deviations between training and test data in learned image reconstruction},
  year = {2018},
  booktitle = {ISMRM Workshop on Machine Learning}
}

2017

Learning a variational network for reconstruction of accelerated MRI data

Kerstin Hammernik, Teresa Klatzer, Erich Kobler, and 4 more authors

Magnetic Resonance in Medicine, 2017

Bib PDF

@article{hammernik2017learning,
  author = {Hammernik, Kerstin and Klatzer, Teresa and Kobler, Erich and Recht, Michael P. and Sodickson, Daniel K. and Pock, Thomas and Knoll, Florian},
  title = {Learning a variational network for reconstruction of accelerated MRI data},
  year = {2017},
  volume = {79},
  number = {6},
  journal = {Magnetic Resonance in Medicine}
}

Variational networks: Connecting variational methods and deep learning

Erich Kobler, Teresa Klatzer, Kerstin Hammernik, and 1 more author

In Pattern Recognition - 39th German Conference, GCPR 2017, Proceedings, 2017

Bib PDF

@inproceedings{kobler2017variatio,
  author = {Kobler, Erich and Klatzer, Teresa and Hammernik, Kerstin and Pock, Thomas},
  title = {Variational networks: Connecting variational methods and deep learning},
  year = {2017},
  booktitle = {Pattern Recognition - 39th German Conference, GCPR 2017, Proceedings}
}

Trainable regularization for multi-frame superresolution

Teresa Klatzer, Daniel Soukup, Erich Kobler, and 2 more authors

In Pattern Recognition - 39th German Conference, GCPR 2017, Proceedings, 2017

Bib PDF

@inproceedings{klatzer2017trainabl,
  author = {Klatzer, Teresa and Soukup, Daniel and Kobler, Erich and Hammernik, Kerstin and Pock, Thomas},
  title = {Trainable regularization for multi-frame superresolution},
  year = {2017},
  booktitle = {Pattern Recognition - 39th German Conference, GCPR 2017, Proceedings}
}