Alexander Denker
Alexander Denker
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Quantitative comparison of deep learning-based image reconstruction methods for low-dose and sparse-angle CT applications
J Leuschner, M Schmidt, PS Ganguly, V Andriiashen, SB Coban, ...
Journal of Imaging 7 (3), 44, 2021
Conditional invertible neural networks for medical imaging
A Denker, M Schmidt, J Leuschner, P Maass
Journal of Imaging 7 (11), 243, 2021
Conditional normalizing flows for low-dose computed tomography image reconstruction
A Denker, M Schmidt, J Leuschner, P Maass, J Behrmann
arXiv preprint arXiv:2006.06270, 2020
PatchNR: learning from very few images by patch normalizing flow regularization
F Altekrüger, A Denker, P Hagemann, J Hertrich, P Maass, G Steidl
Inverse Problems 39 (6), 064006, 2023
An educated warm start for deep image prior-based micro CT reconstruction
R Barbano, J Leuschner, M Schmidt, A Denker, A Hauptmann, P Maass, ...
IEEE Transactions on Computational Imaging 8, 1210-1222, 2022
Invertible residual networks in the context of regularization theory for linear inverse problems
C Arndt, A Denker, S Dittmer, N Heilenkötter, M Iske, T Kluth, P Maass, ...
arXiv preprint arXiv:2306.01335, 2023
Steerable conditional diffusion for out-of-distribution adaptation in imaging inverse problems
R Barbano, A Denker, H Chung, TH Roh, S Arrdige, P Maass, B Jin, ...
arXiv preprint arXiv:2308.14409, 2023
Investigating Intensity Normalisation for PET Reconstruction with Supervised Deep Learning
I Singh, A Denker, B Jin, K Thielemans, S Arridge
IEEE, 2024
Model-based deep learning approaches to the Helsinki Tomography Challenge 2022
C Arndt, A Denker, S Dittmer, J Leuschner, J Nickel, M Schmidt
Applied Mathematics for Modern Challenges, 0-0, 2023
In Focus-hybrid deep learning approaches to the HDC2021 challenge
C Arndt, A Denker, J Nickel, J Leuschner, M Schmidt, G Rigaud
Inverse Problems and Imaging 17 (5), 908-924, 2023
Score-Based Generative Models for PET Image Reconstruction
IRD Singh, A Denker, R Barbano, Ž Kereta, B Jin, K Thielemans, P Maass, ...
arXiv preprint arXiv:2308.14190, 2023
The Deep Capsule Prior–advantages through complexity?
M Schmidt, A Denker, J Leuschner
PAMM 21 (1), e202100166, 2021
Feature reduction for machine learning on molecular features: The GeneScore
A Denker, A Steshina, T Grooss, F Ueckert, S Nürnberg
arXiv preprint arXiv:2101.05546, 2021
Bringing advanced analytics experts to the data: Report of an interdisciplinary machine learning workshop
S Stahl-Toyota, K Glocker, AP Perez, A Knurr, A Denker, F Ückert
Cancer Research 80 (16_Supplement), 2087-2087, 2020
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