Automated detection of motion artefacts in MR imaging using decision forests B Lorch, G Vaillant, C Baumgartner, W Bai, D Rueckert, A Maier Journal of medical engineering 2017 (1), 4501647, 2017 | 59 | 2017 |
Toward reliable models for authenticating multimedia content: Detecting resampling artifacts with bayesian neural networks A Maier, B Lorch, C Riess 2020 IEEE International conference on image processing (ICIP), 1251-1255, 2020 | 32 | 2020 |
Unobtrusive heart rate estimation during physical exercise using photoplethysmographic and acceleration data P Mullan, CM Kanzler, B Lorch, L Schroeder, L Winkler, L Laich, F Riedel, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 21 | 2015 |
Forensic Reconstruction of Severely Degraded License Plates B Lorch, S Agarwal, H Farid IS&T International Symposium on Electronic Imaging 2019: Media Watermarking …, 2019 | 15 | 2019 |
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 |
Reliable JPEG Forensics via Model Uncertainty B Lorch, A Maier, C Riess IEEE International Workshop in Information Forensics and Security, 2020 | 12 | 2020 |
Image Forensics from Chroma Subsampling of High-Quality JPEG Images B Lorch, C Riess Proceedings of the ACM Workshop on Information Hiding and Multimedia …, 2019 | 12 | 2019 |
Compliance challenges in forensic image analysis under the artificial intelligence act B Lorch, N Scheler, C Riess 2022 30th European Signal Processing Conference (EUSIPCO), 613-617, 2022 | 10 | 2022 |
Projection and reconstruction-based noise filtering methods in cone beam CT B Lorch, M Berger, J Hornegger, A Maier Bildverarbeitung für die Medizin 2015: Algorithmen-Systeme-Anwendungen …, 2015 | 9 | 2015 |
Prudent design principles for digital tampering experiments J Schneider, L Düsel, B Lorch, J Drafz, F Freiling Forensic Science International: Digital Investigation 40, 301334, 2022 | 8 | 2022 |
SR2: 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 | 7 | 2020 |
Benchmarking probabilistic deep learning methods for license plate recognition F Schirrmacher, B Lorch, A Maier, C Riess IEEE Transactions on Intelligent Transportation Systems, 2023 | 5 | 2023 |
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, 2023 | 3 | 2023 |
Reliable Camera Model Identification Through Uncertainty Estimation J Pan, A Maier, B Lorch, C Riess 2021 IEEE International Workshop on Biometrics and Forensics (IWBF), 1-6, 2021 | 3 | 2021 |
JPEG Steganalysis Using Leaked Cover Thumbnails M Beneš, B Lorch, R Böhme 2023 IEEE International Workshop on Information Forensics and Security (WIFS …, 2023 | 1 | 2023 |
Off-By-One Implementation Error in J-UNIWARD B Lorch arXiv preprint arXiv:2305.19776, 2023 | | 2023 |
Reliable Machine Learning Methods in Image Forensics B Lorch | | 2023 |
Bayesian Tools for Reliable Multimedia Forensics A Maier, B Lorch, C Riess 2022 VIII International Conference on Information Technology and …, 2022 | | 2022 |
Research Article Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests B Lorch, G Vaillant, C Baumgartner, W Bai, D Rueckert, A Maier | | 2017 |