research
∙
11/18/2022
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images
This work presents a novel deep-learning-based pipeline for the inverse ...
share
research
∙
06/01/2021
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry
This report is dedicated to a short motivation and description of our co...
research
∙
11/09/2020
Solving Inverse Problems With Deep Neural Networks – Robustness Included?
In the past five years, deep learning methods have become state-of-the-a...
research
∙
09/07/2020
Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery (iTWIST'20)
This paper investigates total variation minimization in one spatial dime...
research
∙
04/15/2020
Sampling Rates for ℓ^1-Synthesis
This work investigates the problem of signal recovery from undersampled ...
research
∙
03/27/2020
Interval Neural Networks as Instability Detectors for Image Reconstructions
This work investigates the detection of instabilities that may occur whe...
research
∙
03/25/2020
Interval Neural Networks: Uncertainty Scores
We propose a fast, non-Bayesian method for producing uncertainty scores ...
research
∙
01/27/2020
