| 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 | 15 | 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 | 9 | 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 | 6 | 2022 |
| 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 |
| 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 | 5 | 2021 |
| 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 | 2 | 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 | 2 | 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 preprint 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 |
| 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 |
| Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification? J Kiechle, DM Lang, SM Fischer, L Felsner, JC Peeken, JA Schnabel arXiv preprint arXiv:2407.17219, 2024 | | 2024 |
| Rapid Motion Estimation and Motion-corrected End-to-end Deep Learning Reconstruction for 1 Heartbeat CINE T Fletcher, GL Da Cruz, L Felsner, A Phair, H Qi, R Botnar, C Prieto Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
| A Motion-corrected Deep-neural-network Reconstruction Approach for Fast Whole-heart MRI in Patients with Congenital Heart Disease A Phair, A Fotaki, L Felsner, T Fletcher, H Qi, R Botnar, C Prieto Journal of Cardiovascular Magnetic Resonance 26, 2024 | | 2024 |
Andreas K. MaierFriedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
