Alexander Denker

According to our database, Alexander Denker authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Invertible neural networks and normalizing flows for image reconstruction.

Alexander Denker

PhD thesis, 2024

Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data.

Alexander Denker, Zeljko Kereta, Imraj RD Singh, Tom Freudenberg, Tobias Kluth, Peter Maass, Simon R. Arridge

CoRR, 2024

DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform.

Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio

CoRR, 2024

Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems.

Pascal Fernsel, Zeljko Kereta, Alexander Denker

CoRR, 2024

Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation.

Pascal Fernsel, Zeljko Kereta, Alexander Denker

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems.

Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye

CoRR, 2023

Score-Based Generative Models for PET Image Reconstruction.

Imraj RD Singh, Alexander Denker, Riccardo Barbano, Zeljko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon R. Arridge

CoRR, 2023

Invertible residual networks in the context of regularization theory for linear inverse problems.

Clemens Arndt, Alexander Denker, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Peter Maass, Judith Nickel

CoRR, 2023

2022

An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction.

Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin

IEEE Trans. Computational Imaging, 2022

PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization.

Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl

CoRR, 2022

2021

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.

Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik F. Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten

J. Imaging, 2021

Conditional Invertible Neural Networks for Medical Imaging.

Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass

J. Imaging, 2021

Is Deep Image Prior in Need of a Good Education?

Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin

CoRR, 2021

Feature reduction for machine learning on molecular features: The GeneScore.

Alexander Denker, Anastasia Steshina, Theresa Grooss, Frank Ueckert, Sylvia Nürnberg

CoRR, 2021

2014

Personalized visual aesthetics.

Edward A. Vessel, Jonathan Stahl, Natalia Maurer, Alexander Denker, G. Gabrielle Starr

Proceedings of the Human Vision and Electronic Imaging XIX, 2014