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Temporal and Volumetric Denoising via Quantile Sparse Image (QuaSI) Prior in Optical Coherence Tomography and Beyond., , , , , , , , , and . CoRR, (2018)Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems., , and . CoRR, (2018)Multi-Modal Super-Resolution with Deep Guided Filtering., , , , , and . Bildverarbeitung für die Medizin, page 110-115. Springer Vieweg, (2019)RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting., , , , , , , , and . CoRR, (2019)Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing., , , , , and . CoRR, (2019)Merging-ISP: Multi-exposure High Dynamic Range Image Signal Processing., , , , and . GCPR, volume 13024 of Lecture Notes in Computer Science, page 328-342. Springer, (2021)Temporal and volumetric denoising via quantile sparse image prior., , , , , , , , , and . Medical Image Analysis, (2018)QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data., , , , , and . MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 83-91. Springer, (2017)Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing., , , , and . CoRR, (2019)Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks., , , , , , , , and . GMDS, volume 267 of Studies in Health Technology and Informatics, page 126-133. IOS Press, (2019)