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Number of items: 10.
Article
Altekrüger, Fabian;
Denker, Alexander;
Hagemann, Paul;
Hertrich, Johannes;
Maass, Peter;
Steidl, Gabriele;
(2023)
PatchNR: learning from very few images by patch normalizing flow regularization.
Inverse Problems
, 39
(6)
, Article 064006. 10.1088/1361-6420/acce5e.
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Arndt, Clemens;
Denker, Alexander;
Dittmer, Sören;
Heilenkötter, Nick;
Iske, Meira;
Kluth, Tobias;
Maass, Peter;
(2023)
Invertible residual networks in the context of regularization theory for linear inverse problems.
Inverse Problems
, 39
(12)
, Article 125018. 10.1088/1361-6420/ad0660.
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Arndt, Clemens;
Denker, Alexander;
Dittmer, Sören;
Leuschner, Johannes;
Nickel, Judith;
Schmidt, Maximilian;
(2023)
Model-based deep learning approaches to the Helsinki Tomography Challenge 2022.
Applied Mathematics for Modern Challenges
, 1
(2)
pp. 87-104.
10.3934/ammc.2023007.
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Barbano, Riccardo;
Denker, Alexander;
Chung, Hyungjin;
Roh, Tae Hoon;
Arridge, Simon;
Maass, Peter;
Jin, Bangti;
(2025)
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction.
IEEE Transactions on Medical Imaging
10.1109/tmi.2024.3524797.
(In press).
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Denker, A;
Margotti, F;
Ning, J;
Knudsen, K;
Nganyu Tanyu, D;
Jin, B;
Hauptmann, A;
(2025)
Deep learning based reconstruction methods for electrical impedance tomography.
Handbook of Numerical Analysis
10.1016/bs.hna.2025.09.003.
(In press).
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Denker, Alexander;
Behrmann, Jens;
Boskamp, Tobias;
(2024)
Improved Mass Calibration in MALDI MSI Using Neural Network-Based Recalibration.
Analytical Chemistry
, 96
(19)
pp. 7542-7549.
10.1021/acs.analchem.4c00304.
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Denker, Alexander;
Kereta, Željko;
Singh, Imraj;
Freudenberg, Tom;
Kluth, Tobias;
Maass, Peter;
Arridge, Simon;
(2024)
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data.
Applied Mathematics for Modern Challenges
, 2
(2)
pp. 119-139.
10.3934/ammc.2024005.
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Proceedings paper
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Denker, A;
Hertrich, J;
Kereta, Z;
Cipiccia, S;
Erin, E;
Arridge, S;
(2025)
Plug-and-Play Half-Quadratic Splitting for Ptychography.
In: Bubba, TA and Gaburro, R and Gazzola, S and Papafitsoros, K and Pereyra, M and Schönlieb, CB, (eds.)
Scale Space and Variational Methods in Computer Vision. SSVM 2025.
(pp. pp. 269-281).
Springer Nature: Cham, Switzerland.
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Denker, Alexander;
Vargas, Francisco;
Padhy, Shreyas;
Didi, Kieran;
Mathis, Simon V;
Barbano, Riccardo;
Dutordoir, Vincent;
... Lio, Pietro; + view all
(2024)
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform.
In:
Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems.
(pp. pp. 1-47).
NeurIPS
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Fernsel, P;
Kereta, Ž;
Denker, A;
(2024)
Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation.
In:
Proceedings of the IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP) 2024.
(pp. pp. 1-6).
Institute of Electrical and Electronics Engineers (IEEE)
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