Towards Understanding Preservation of Periodic Object Motion in Computed Tomography. - Franziska Schirrmacher; Oliver Taubmann; Mathias Unberath; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data. - Franziska Schirrmacher; Thomas Köhler 004; Lennart Husvogt; James G. Fujimoto; Joachim Hornegger; Andreas K. Maier (MICCAI (2), 2017)

Abstract: QuaSI - Quantile Sparse Image - A Prior for Spatio-Temporal Denoising of Retinal OCT Data. - Franziska Schirrmacher; Thomas Köhler 004; Lennart Husvogt; James G. Fujimoto; Joachim Hornegger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Temporal and Volumetric Denoising via Quantile Sparse Image (QuaSI) Prior in Optical Coherence Tomography and Beyond. - Franziska Schirrmacher; Thomas Köhler 004; Tobias Lindenberger; Lennart Husvogt; Jürgen Endres; James G. Fujimoto; Joachim Hornegger; Arnd Dörfler; Philip Hoelter; Andreas K. Maier (CoRR, 2018)

Temporal and volumetric denoising via quantile sparse image prior. - Franziska Schirrmacher; Thomas Köhler 004; Jürgen Endres; Tobias Lindenberger; Lennart Husvogt; James G. Fujimoto; Joachim Hornegger; Arnd Dörfler; Philip Hoelter; Andreas K. Maier (Medical Image Anal., 2018)

Multi-Modal Super-Resolution with Deep Guided Filtering. - Bernhard Stimpel; Christopher Syben; Franziska Schirrmacher; Philip Hoelter; Arnd Dörfler; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. - Elisabeth Hoppe; Florian Thamm; Gregor Körzdörfer; Christopher Syben; Franziska Schirrmacher; Mathias Nittka; Josef Pfeuffer; Heiko Meyer; Andreas K. Maier (GMDS, 2019)

RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. - Elisabeth Hoppe; Florian Thamm; Gregor Körzdörfer; Christopher Syben; Franziska Schirrmacher; Mathias Nittka; Josef Pfeuffer; Heiko Meyer; Andreas Maier 001 (MICCAI (3), 2019)

Abstract: RinQ Fingerprinting. - Elisabeth Hoppe; Florian Thamm; Gregor Körzdörfer; Christopher Syben; Franziska Schirrmacher; Mathias Nittka; Josef Pfeuffer; Heiko Meyer; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

SR2: Super-Resolution With Structure-Aware Reconstruction. - Franziska Schirrmacher; Benedikt Lorch; Bernhard Stimpel; Thomas Köhler 004; Christian Riess (ICIP, 2020)

Learning to Decipher License Plates in Severely Degraded Images. - Paula Kaiser; Franziska Schirrmacher; Benedikt Lorch; Christian Riess (ICPR Workshops (6), 2020)

Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems. - Franziska Schirrmacher; Christian Riess; Thomas Köhler 004 (IEEE Trans. Computational Imaging, 2020)

Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing. - Bernhard Stimpel; Christopher Syben; Franziska Schirrmacher; Philip Hoelter; Arnd Dörfler; Andreas K. Maier (IEEE Trans. Medical Imaging, 2020)

Sequence-Based Recognition of License Plates with Severe Out-of-Distribution Degradations. - Denise Moussa; Anatol Maier; Franziska Schirrmacher; Christian Riess (CAIP (2), 2021)

Merging-ISP: Multi-exposure High Dynamic Range Image Signal Processing. - Prashant Chaudhari; Franziska Schirrmacher; Andreas Maier 001; Christian Riess; Thomas Köhler 004 (GCPR, 2021)

Deep Learning Architectural Designs for Super-Resolution Of Noisy Images. - Angel Villar-Corrales; Franziska Schirrmacher; Christian Riess (ICASSP, 2021)

Reliable Camera Model Identification Using Sparse Gaussian Processes. - Benedikt Lorch; Franziska Schirrmacher; Anatol Maier; Christian Riess (IEEE Signal Process. Lett., 2021)

On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics. - Benedikt Lorch; Franziska Schirrmacher; Anatol Maier; Christian Riess (IEEE Trans. Inf. Forensics Secur., 2023)

Robust Enhancement and Recognition for Low-Quality Images. - Franziska Schirrmacher (2023)

Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition. - Franziska Schirrmacher; Benedikt Lorch; Anatol Maier; Christian Riess (IEEE Trans. Intell. Transp. Syst., 2023)