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Franziska Schirrmacher
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2020 – today
- 2023
- [b1]Franziska Schirrmacher:
Robust Enhancement and Recognition for Low-Quality Images. University of Erlangen-Nuremberg, Germany, 2023 - [j6]Benedikt Lorch
, Franziska Schirrmacher
On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics. IEEE Trans. Inf. Forensics Secur. 18: 2466-2479 (2023) - [j5]Franziska Schirrmacher
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition. IEEE Trans. Intell. Transp. Syst. 24(9): 9203-9216 (2023) - [i9]Franziska Schirrmacher, Benedikt Lorch, Anatol Maier, Christian Riess:
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition. CoRR abs/2302.01427 (2023) - 2021
- [j4]Benedikt Lorch
Reliable Camera Model Identification Using Sparse Gaussian Processes. IEEE Signal Process. Lett. 28: 912-916 (2021) - [c12]Denise Moussa
Sequence-Based Recognition of License Plates with Severe Out-of-Distribution Degradations. CAIP (2) 2021: 175-185 - [c11]Prashant Chaudhari, Franziska Schirrmacher, Andreas Maier, Christian Riess, Thomas Köhler:
Merging-ISP: Multi-exposure High Dynamic Range Image Signal Processing. GCPR 2021: 328-342 - [c10]Angel Villar-Corrales, Franziska Schirrmacher, Christian Riess:
Deep Learning Architectural Designs for Super-Resolution Of Noisy Images. ICASSP 2021: 1635-1639 - [i8]Angel Villar-Corrales, Franziska Schirrmacher, Christian Riess:
Deep learning architectural designs for super-resolution of noisy images. CoRR abs/2102.05105 (2021) - 2020
- [j3]Franziska Schirrmacher
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems. IEEE Trans. Computational Imaging 6: 503-517 (2020) - [j2]Bernhard Stimpel
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing. IEEE Trans. Medical Imaging 39(5): 1703-1711 (2020) - [c9]Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier:
Abstract: RinQ Fingerprinting. Bildverarbeitung für die Medizin 2020: 184 - [c8]Franziska Schirrmacher, Benedikt Lorch, Bernhard Stimpel, Thomas Köhler, Christian Riess:
SR2: Super-Resolution With Structure-Aware Reconstruction. ICIP 2020: 533-537 - [c7]Paula Kaiser, Franziska Schirrmacher
Learning to Decipher License Plates in Severely Degraded Images. ICPR Workshops (6) 2020: 544-559 - [e1]Christian Riess, Franziska Schirrmacher, Irene Amerini, Paolo Bestagini, Tomás Pevný:
IH&MMSec '20: ACM Workshop on Information Hiding and Multimedia Security, Denver, CO, USA, June 22-24, 2020. ACM 2020, ISBN 978-1-4503-7050-9 [contents]
2010 – 2019
- 2019
- [c6]Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Multi-Modal Super-Resolution with Deep Guided Filtering. Bildverarbeitung für die Medizin 2019: 110-115 - [c5]Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. GMDS 2019: 126-133 - [c4]Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier:
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. MICCAI (3) 2019: 92-100 - [i7]Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier:
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting. CoRR abs/1907.05277 (2019) - [i6]Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier:
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. CoRR abs/1909.06395 (2019) - [i5]Prashant Chaudhari, Franziska Schirrmacher, Andreas K. Maier, Christian Riess, Thomas Köhler:
Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing. CoRR abs/1911.04762 (2019) - [i4]Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing. CoRR abs/1911.07731 (2019) - 2018
- [j1]Franziska Schirrmacher, Thomas Köhler
Temporal and volumetric denoising via quantile sparse image prior. Medical Image Anal. 48: 131-146 (2018) - [c3]Franziska Schirrmacher, Thomas Köhler, Lennart Husvogt, James G. Fujimoto, Joachim Hornegger, Andreas K. Maier:
Abstract: QuaSI - Quantile Sparse Image - A Prior for Spatio-Temporal Denoising of Retinal OCT Data. Bildverarbeitung für die Medizin 2018: 380 - [i3]Franziska Schirrmacher, Thomas Köhler, Tobias Lindenberger, Lennart Husvogt, Jürgen Endres, James G. Fujimoto, Joachim Hornegger, Arnd Dörfler, Philip Hoelter, Andreas K. Maier:
Temporal and Volumetric Denoising via Quantile Sparse Image (QuaSI) Prior in Optical Coherence Tomography and Beyond. CoRR abs/1802.03943 (2018) - [i2]Franziska Schirrmacher, Thomas Köhler, Christian Riess:
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems. CoRR abs/1804.02152 (2018) - 2017
- [c2]Franziska Schirrmacher, Oliver Taubmann, Mathias Unberath
Towards Understanding Preservation of Periodic Object Motion in Computed Tomography. Bildverarbeitung für die Medizin 2017: 116-121 - [c1]Franziska Schirrmacher, Thomas Köhler, Lennart Husvogt, James G. Fujimoto, Joachim Hornegger, Andreas K. Maier:
QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data. MICCAI (2) 2017: 83-91 - [i1]Franziska Schirrmacher, Thomas Köhler, Lennart Husvogt, James G. Fujimoto, Joachim Hornegger, Andreas K. Maier:
QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data. CoRR abs/1703.02942 (2017)
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