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07/19/2023
Learning-based approaches for reconstructions with inexact operators in nanoCT applications
Imaging problems such as the one in nanoCT require the solution of an in...
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03/28/2023
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction
The deep image prior (DIP) is a well-established unsupervised deep learn...
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02/20/2023
Fast and Painless Image Reconstruction in Deep Image Prior Subspaces
The deep image prior (DIP) is a state-of-the-art unsupervised approach f...
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07/11/2022
Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior
We investigate adaptive design based on a single sparse pilot scan for g...
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02/28/2022
A Probabilistic Deep Image Prior for Computational Tomography
Existing deep-learning based tomographic image reconstruction methods do...
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07/09/2021
Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients
We propose a method for the blind separation of sounds of musical instru...
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03/10/2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
In this work, we investigate the application of deep learning methods fo...
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10/01/2019