| Multi-modal deep guided filtering for comprehensible medical image processing B Stimpel, C Syben, F Schirrmacher, P Hoelter, A Dörfler, A Maier IEEE transactions on medical imaging 39 (5), 1703-1711, 2019 | 38 | 2019 |
| RinQ fingerprinting: recurrence-informed quantile networks for magnetic resonance fingerprinting E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 25 | 2019 |
| Temporal and volumetric denoising via quantile sparse image prior F Schirrmacher, T Köhler, J Endres, T Lindenberger, L Husvogt, ... Medical image analysis 48, 131-146, 2018 | 21 | 2018 |
| Deep learning architectural designs for super-resolution of noisy images A Villar-Corrales, F Schirrmacher, C Riess ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 15 | 2021 |
| Merging-ISP: Multi-exposure high dynamic range image signal processing P Chaudhari, F Schirrmacher, A Maier, C Riess, T Köhler DAGM German Conference on Pattern Recognition, 328-342, 2021 | 14 | 2021 |
| Learning to decipher license plates in severely degraded images P Kaiser, F Schirrmacher, B Lorch, C Riess International Conference on Pattern Recognition, 544-559, 2021 | 14 | 2021 |
| Reliable camera model identification using sparse gaussian processes B Lorch, F Schirrmacher, A Maier, C Riess IEEE Signal Processing Letters 28, 912-916, 2021 | 13 | 2021 |
| Multi-modal super-resolution with deep guided filtering B Stimpel, C Syben, F Schirrmacher, P Hoelter, A Dörfler, A Maier Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019 | 13 | 2019 |
| QuaSI: quantile sparse image prior for spatio-temporal denoising of retinal OCT data F Schirrmacher, T Köhler, L Husvogt, JG Fujimoto, J Hornegger, AK Maier Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 12 | 2017 |
| Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems F Schirrmacher, C Riess, T Köhler IEEE Transactions on Computational Imaging 6 (1), 503--517, 2020 | 8 | 2020 |
| Sequence-Based Recognition of License Plates with Severe Out-of-Distribution Degradations D Moussa, A Maier, F Schirrmacher, C Riess International Conference on Computer Analysis of Images and Patterns, 175-185, 2021 | 7 | 2021 |
| Benchmarking probabilistic deep learning methods for license plate recognition F Schirrmacher, B Lorch, A Maier, C Riess IEEE Transactions on Intelligent Transportation Systems 24 (9), 9203-9216, 2023 | 6 | 2023 |
| SR 2: Super-resolution with structure-aware reconstruction F Schirrmacher, B Lorch, B Stimpel, T Köhler, C Riess 2020 IEEE International Conference on Image Processing (ICIP), 533-537, 2020 | 6 | 2020 |
| On the security of the one-and-a-half-class classifier for SPAM feature-based image forensics B Lorch, F Schirrmacher, A Maier, C Riess IEEE Transactions on Information Forensics and Security 18, 2466-2479, 2023 | 3 | 2023 |
| Invasive Computing N Anantharajaiah, T Asfour, M Bader, L Bauer, J Becker, S Bischof, ... FAU University Press, 2022 | 2 | 2022 |
| Towards understanding preservation of periodic object motion in computed tomography F Schirrmacher, O Taubmann, M Unberath, A Maier Bildverarbeitung für die Medizin 2017: Algorithmen-Systeme-Anwendungen …, 2017 | 2 | 2017 |
| Robuste Verbesserung und Erkennung für Bilder niedriger Qualität F Schirrmacher Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2023 | | 2023 |
| RinQ Fingerprinting. E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ... Bildverarbeitung für die Medizin, 184, 2020 | | 2020 |
| Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ... GMDS, 126-133, 2019 | | 2019 |
| 12 Security in Invasive Computing Systems F Freiling, W Schröder-Preikschat, G Snelting, I Verbauwhede, ... Teich/Henkel/Herkersdorf (Eds.), 335, 0 | | |
