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Conditional Invertible Neural Networks for Medical Imaging., , , and . J. Imaging, 7 (11): 243 (2021)Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications., , , , , , , , , and 1 other author(s). J. Imaging, 7 (3): 44 (2021)Personalized visual aesthetics., , , , and . Human Vision and Electronic Imaging, volume 9014 of SPIE Proceedings, page 90140S. SPIE, (2014)Score-Based Generative Models for PET Image Reconstruction., , , , , , , and . CoRR, (2023)Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems., , and . CoRR, (2024)An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction., , , , , , and . IEEE Trans. Computational Imaging, (2022)Invertible residual networks in the context of regularization theory for linear inverse problems., , , , , , , and . CoRR, (2023)PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization., , , , , and . CoRR, (2022)Feature reduction for machine learning on molecular features: The GeneScore., , , , and . CoRR, (2021)Is Deep Image Prior in Need of a Good Education?, , , , , , and . CoRR, (2021)