LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction
Leuschner, Johannes, Schmidt, Maximilian, Baguer, Daniel Otero, Maass, Peter
Published in Scientific data (16.04.2021)
Published in Scientific data (16.04.2021)
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Journal Article
Conditional Invertible Neural Networks for Medical Imaging
Denker, Alexander, Schmidt, Maximilian, Leuschner, Johannes, Maass, Peter
Published in Journal of imaging (17.11.2021)
Published in Journal of imaging (17.11.2021)
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Journal Article
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications
Leuschner, Johannes, Schmidt, Maximilian, Ganguly, Poulami Somanya, Andriiashen, Vladyslav, Coban, Sophia Bethany, Denker, Alexander, Bauer, Dominik, Hadjifaradji, Amir, Batenburg, Kees Joost, Maass, Peter, van Eijnatten, Maureen
Published in Journal of imaging (02.03.2021)
Published in Journal of imaging (02.03.2021)
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Journal Article
Computed tomography reconstruction using deep image prior and learned reconstruction methods
Baguer, Daniel Otero, Leuschner, Johannes, Schmidt, Maximilian
Published in Inverse problems (01.09.2020)
Published in Inverse problems (01.09.2020)
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Journal Article
The Deep Capsule Prior – advantages through complexity?
Schmidt, Maximilian, Denker, Alexander, Leuschner, Johannes
Published in Proceedings in applied mathematics and mechanics (01.12.2021)
Published in Proceedings in applied mathematics and mechanics (01.12.2021)
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Journal Article
Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications
Lutjen, Tom, Schonfeld, Fabian, Oberacker, Alice, Leuschner, Johannes, Schmidt, Maximilian, Wald, Anne, Kluth, Tobias
Published in IEEE transactions on computational imaging (2024)
Published in IEEE transactions on computational imaging (2024)
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Journal Article
Learning-based approaches for reconstructions with inexact operators in nanoCT applications
Lütjen, Tom, Schönfeld, Fabian, Oberacker, Alice, Leuschner, Johannes, Schmidt, Maximilian, Wald, Anne, Kluth, Tobias
Year of Publication 19.07.2023
Year of Publication 19.07.2023
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Journal Article
Conditional Invertible Neural Networks for Medical Imaging
Denker, Alexander, Schmidt, Maximilian, Leuschner, Johannes, Maass, Peter
Year of Publication 26.10.2021
Year of Publication 26.10.2021
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Journal Article
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction
Nittscher, Marco, Lameter, Michael, Barbano, Riccardo, Leuschner, Johannes, Jin, Bangti, Maass, Peter
Year of Publication 28.03.2023
Year of Publication 28.03.2023
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Journal Article
Image Reconstruction via Deep Image Prior Subspaces
Barbano, Riccardo, Antorán, Javier, Leuschner, Johannes, Hernández-Lobato, José Miguel, Jin, Bangti, Kereta, Željko
Year of Publication 20.02.2023
Year of Publication 20.02.2023
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Journal Article
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
Barbano, Riccardo, Leuschner, Johannes, Schmidt, Maximilian, Denker, Alexander, Hauptmann, Andreas, Maaß, Peter, Jin, Bangti
Published in arXiv.org (08.02.2023)
Published in arXiv.org (08.02.2023)
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Journal Article
Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior
Barbano, Riccardo, Leuschner, Johannes, Antorán, Javier, Jin, Bangti, Hernández-Lobato, José Miguel
Year of Publication 11.07.2022
Year of Publication 11.07.2022
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Journal Article
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior
Antorán, Javier, Barbano, Riccardo, Leuschner, Johannes, Hernández-Lobato, José Miguel, Jin, Bangti
Year of Publication 28.02.2022
Year of Publication 28.02.2022
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Journal Article
Conditional Normalizing Flows for Low-Dose Computed Tomography Image Reconstruction
Denker, Alexander, Schmidt, Maximilian, Leuschner, Johannes, Maass, Peter, Behrmann, Jens
Year of Publication 11.06.2020
Year of Publication 11.06.2020
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Journal Article