| RinQ fingerprinting: recurrence-informed quantile networks for magnetic resonance fingerprinting E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 18 | 2019 |
| Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ... GMDS, 126-133, 2019 | 17 | 2019 |
| VirtualDSA++-Automated Segmentation, Vessel Labeling, Occlusion Detection, and Graph Search on CT Angiography Data. F Thamm, M Jürgens, H Ditt, A Maier VCBM, 151-155, 2020 | 7 | 2020 |
| Generation of anonymous chest radiographs using latent diffusion models for training thoracic abnormality classification systems K Packhäuser, L Folle, F Thamm, A Maier arXiv preprint arXiv:2211.01323, 2022 | 3 | 2022 |
| Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection F Thamm, O Taubmann, M Jürgens, A Thamm, F Denzinger, L Rist, H Ditt, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | 1 | 2022 |
| Detection of Large Vessel Occlusions Using Deep Learning by Deforming Vessel Tree Segmentations F Thamm, O Taubmann, M Jürgens, H Ditt, A Maier Bildverarbeitung für die Medizin 2022 2022, 44 -- 49, 2022 | 1 | 2022 |
| Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning A Popp, O Taubmann, F Thamm, H Ditt, A Maier, K Breininger Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 1 | 2022 |
| Syncct: Synthetic non-contrast images of the brain from single-energy computed tomography angiography F Thamm, O Taubmann, F Denzinger, M Jürgens, H Ditt, A Maier Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 1 | 2021 |
| Computer-implemented segmentation and training method in computed tomography perfusion, segmentation and training system, computer program and electronically readable storage … F Thamm, M Juergens US Patent App. 17/843,297, 2022 | | 2022 |
| Detecting Large Vessel Occlusions using Graph Deep Learning J Kassam, F Thamm, L Rist, O Taubmann, A Maier Geometric Deep Learning in Medical Image Analysis, 149-159, 2022 | | 2022 |
| An algorithm for the labeling and interactive visualization of the cerebrovascular system of ischemic strokes F Thamm, M Jürgens, O Taubmann, A Thamm, L Rist, H Ditt, A Maier Biomedical Physics & Engineering Express 8 (6), 065016, 2022 | | 2022 |
| Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients L Rist, O Taubmann, F Thamm, H Ditt, M Sühling, A Maier International Journal of Computer Assisted Radiology and Surgery, 1-8, 2022 | | 2022 |
| Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy K Packhäuser, S Gündel, F Thamm, F Denzinger, A Maier arXiv preprint arXiv:2209.11531, 2022 | | 2022 |
| Method and system for analyzing a plurality of interconnected blood vessels F Thamm, M Juergens, H Ditt US Patent App. 17/477,894, 2022 | | 2022 |
| Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors F Thamm, F Denzinger, L Rist, CM Vicario, F Kordon, A Maier arXiv preprint arXiv:2201.06259, 2022 | | 2022 |
| Failure and Risk Analysis Based on Maintenance Reports of Machines Components in Manufacturing Industry A Thamm, M Herz, M Wiedemann, F Thamm, A Maier Advances in Mechanism Design III: Proceedings of TMM 2020 13, 278-286, 2022 | | 2022 |
| RinQ Fingerprinting. E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ... Bildverarbeitung für die Medizin, 184, 2020 | | 2020 |
Andreas K. MaierUniversity of Erlangen-NurembergBestätigte E-Mail-Adresse bei fau.de
