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 | 22 | 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 | 22 | 2019 |
Generation of anonymous chest radiographs using latent diffusion models for training thoracic abnormality classification systems K Packhäuser, L Folle, F Thamm, A Maier 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 18 | 2023 |
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 | 9 | 2020 |
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 18 (3), 509-516, 2023 | 3 | 2023 |
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 | 2 | 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 | 2 | 2021 |
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy K Packhäuser, S Gündel, F Thamm, F Denzinger, A Maier International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
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, ... International Conference on Medical Image Computing and Computer-Assisted …, 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 |
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 | 1 | 2022 |
Apparatus, system and method for detecting anomalies in a grid M Kienberger, J Stübinger, AAH Ali, A Thamm, D Zacharias, B Amschler, ... US Patent App. 18/138,945, 2023 | | 2023 |
Unsupervised Deep Learning for Advanced Forming Limit Analysis in Sheet Metal: A Tensile Test-Based Approach A Thamm, F Thamm, A Sawodny, S Zeitler, M Merklein, A Maier Materials 16 (21), 7001, 2023 | | 2023 |
Method and data processing system for providing a stroke information O Taubmann, A Katzmann, H Ditt, F Thamm, R Leonhard, F Denzinger, ... US Patent App. 18/191,624, 2023 | | 2023 |
Method for generating training data and for training a deep learning algorithm for detection of a disease information, method, system and computer program for detection of a … F Thamm, M Juergens, O Taubmann, H Ditt US Patent App. 18/171,744, 2023 | | 2023 |
Method, device and computer-readable medium for mapping a three-dimensional branched tubular structure into at least one two-dimensional image plane O Taubmann, H Ditt, M Suehling, F Thamm, R Leonhard US Patent App. 18/145,106, 2023 | | 2023 |
Detection of Pulmonary Embolisms in NCCT Data Using nnDetection L Vorberg, F Thamm, H Ditt, M Horger, F Hagen, A Maier BVM Workshop, 122-127, 2023 | | 2023 |
Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods J Schauer, F Thamm, O Taubmann, A Maier BVM Workshop, 57-62, 2023 | | 2023 |
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression L Rist, O Taubmann, A Mühlberg, F Denzinger, F Thamm, M Sühling, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | | 2023 |