Johannes Leuschner

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Blind Source Separation

Computed Tomography

Polyphonic Music

Top Venues

IEEE Trans. Computational Imaging

Trans. Mach. Learn. Res.

Publications

Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin, Zeljko Kereta
Image Reconstruction via Deep Image Prior Subspaces. Trans. Mach. Learn. Res. 2024 (2024)
Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications. IEEE Trans. Computational Imaging 10 (2024)
Marco Nittscher, Michael Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction. CoRR (2023)
Javier Antorán, Riccardo Barbano, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior. Trans. Mach. Learn. Res. 2023 (2023)
Marco Nittscher, Michael Falk Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction. MIDL (2023)
Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
Learning-based approaches for reconstructions with inexact operators in nanoCT applications. CoRR (2023)
Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Zeljko Kereta, Bangti Jin
Fast and Painless Image Reconstruction in Deep Image Prior Subspaces. CoRR (2023)
Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin
An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction. IEEE Trans. Computational Imaging 8 (2022)
Javier Antorán, Riccardo Barbano, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin
A Probabilistic Deep Image Prior for Computational Tomography. CoRR (2022)
Riccardo Barbano, Johannes Leuschner, Javier Antorán, Bangti Jin, José Miguel Hernández-Lobato
Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior. CoRR (2022)
Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. J. Imaging 7 (3) (2021)
Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin
Is Deep Image Prior in Need of a Good Education? CoRR (2021)
Sören Schulze, Johannes Leuschner, Emily J. King
Training a Deep Neural Network via Policy Gradients for Blind Source Separation in Polyphonic Music Recordings. CoRR (2021)
Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass
Conditional Invertible Neural Networks for Medical Imaging. J. Imaging 7 (11) (2021)
Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods. CoRR (2020)
Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods. CoRR (2019)
Johannes Leuschner, Maximilian Schmidt, Pascal Fernsel, Delf Lachmund, Tobias Boskamp, Peter Maass
Supervised non-negative matrix factorization methods for MALDI imaging applications. Bioinform. 35 (11) (2019)