Alexander Denker

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 12

Top Topics

Maximum A Posteriori

Inverse Problems

Diffusion Models

Top Venues

Human Vision and Electronic Imaging

IEEE Trans. Computational Imaging

Publications

Pascal Fernsel, Zeljko Kereta, Alexander Denker
Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems. CoRR (2024)
Alexander Denker, Zeljko Kereta, Imraj RD Singh, Tom Freudenberg, Tobias Kluth, Peter Maass, Simon R. Arridge
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data. CoRR (2024)
Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio
DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform. CoRR (2024)
Imraj RD Singh, Alexander Denker, Riccardo Barbano, Zeljko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon R. Arridge
Score-Based Generative Models for PET Image Reconstruction. CoRR (2023)
Clemens Arndt, Alexander Denker, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Peter Maass, Judith Nickel
Invertible residual networks in the context of regularization theory for linear inverse problems. CoRR (2023)
Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. 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)
Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. 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)
Alexander Denker, Anastasia Steshina, Theresa Grooss, Frank Ueckert, Sylvia Nürnberg
Feature reduction for machine learning on molecular features: The GeneScore. CoRR (2021)
Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass
Conditional Invertible Neural Networks for Medical Imaging. J. Imaging 7 (11) (2021)
Edward A. Vessel, Jonathan Stahl, Natalia Maurer, Alexander Denker, G. Gabrielle Starr
Personalized visual aesthetics. Human Vision and Electronic Imaging (2014)