| X-ray scatter estimation using deep splines P Roser, A Birkhold, A Preuhs, C Syben, L Felsner, E Hoppe, N Strobel, ... IEEE Transactions on Medical Imaging 40 (9), 2272-2283, 2021 | 17 | 2021 |
| Epipolar consistency conditions for motion correction in weight-bearing imaging B Bier, A Aichert, L Felsner, M Unberath, M Levenston, G Gold, R Fahrig, ... Bildverarbeitung für die Medizin 2017: Algorithmen-Systeme-Anwendungen …, 2017 | 14 | 2017 |
| A 3-D projection model for x-ray dark-field imaging L Felsner, S Hu, A Maier, J Bopp, V Ludwig, G Anton, C Riess Scientific Reports 9 (1), 9216, 2019 | 11 | 2019 |
| Reconstruction of voxels with position-and angle-dependent weightings L Felsner, T Würfl, C Syben, P Roser, A Preuhs, A Maier, C Riess arXiv preprint arXiv:2010.14205, 2020 | 8 | 2020 |
| Truncation correction for x-ray phase-contrast region-of-interest tomography L Felsner, S Kaeppler, A Maier, C Riess IEEE Transactions on Computational Imaging 6, 625-639, 2020 | 6 | 2020 |
| Learned cone-beam ct reconstruction using neural ordinary differential equations M Thies, F Wagner, M Gu, L Folle, L Felsner, A Maier 7th international conference on image formation in X-ray computed tomography …, 2022 | 5 | 2022 |
| Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks SM Fischer, L Felsner, R Osuala, J Kiechle, DM Lang, JC Peeken, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 4 | 2024 |
| A motion-corrected deep-learning reconstruction framework for accelerating whole-heart magnetic resonance imaging in patients with congenital heart disease A Phair, A Fotaki, L Felsner, TJ Fletcher, H Qi, RM Botnar, C Prieto Journal of Cardiovascular Magnetic Resonance 26 (1), 101039, 2024 | 4 | 2024 |
| 2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging E Hoppe, J Wetzl, P Roser, L Felsner, A Preuhs, A Maier Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | 4 | 2021 |
| Language Models Meet Anomaly Detection for Better Interpretability and Generalizability J Li, SH Kim, P Müller, L Felsner, D Rueckert, B Wiestler, JA Schnabel, ... arXiv preprint arXiv:2404.07622, 2024 | 3 | 2024 |
| Multi-image visual question answering for unsupervised anomaly detection J Li, CI Bercea, P Müller, L Felsner, S Kim, D Rueckert, B Wiestler, ... arXiv e-prints, arXiv: 2404.07622, 2024 | 2 | 2024 |
| Learning the inverse weighted radon transform P Roser, L Felsner, A Maier, C Riess Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | 2 | 2021 |
| Motion Estimation in Rotational Angiography with α–Expansion Moves L Felsner, A Aichert, M Unberath, A Maier IEEE Nuclear Science Symposium Conference Record (NSS) 2017, 2017 | 2 | 2017 |
| Data-Driven Tissue-and Subject-Specific Elastic Regularization for Medical Image Registration A Reithmeir, L Felsner, R Braren, JA Schnabel, VA Zimmer International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 1 | 2024 |
| A 3-D Projection Model for X-ray Dark-field Imaging S Hu, L Felsner, A Maier, V Ludwig, G Anton, C Riess arXiv preprint arXiv:1811.04457, 2018 | 1 | 2018 |
| X-ray Phase Contrast: Research on a Future Imaging Modality J Bopp, L Felsner, S Hu, S Kaeppler, C Riess Medical Imaging Systems: An Introductory Guide, 191-205, 2018 | 1 | 2018 |
| Phase-sensitive region-of-interest computed tomography L Felsner, M Berger, S Kaeppler, J Bopp, V Ludwig, T Weber, G Pelzer, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 1 | 2018 |
| Data-consistent super resolution for 3D whole-heart MRI using a motion-corrected deep-learning reconstruction framework A Phair, A Fotaki, L Felsner, TJ Fletcher, RM Botnar, C Prieto | 1 | |
| Combined super resolution and motion-corrected undersampled DL reconstruction for 18-fold-accelerated 3d whole-heart MRI A Phair, SJ Littlewood, A Fotaki, TJ Fletcher, L Felsner, C Prieto, R Botnar Journal of Cardiovascular Magnetic Resonance 27, 2025 | | 2025 |
| Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning H Eichhorn, V Spieker, K Hammernik, E Saks, L Felsner, K Weiss, ... arXiv preprint arXiv:2502.17209, 2025 | | 2025 |
Andreas K. MaierFriedrich-Alexander-Universität Erlangen-Nürnbergfau.de üzerinde doğrulanmış e-posta adresine sahip