Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. - Elisabeth Hoppe; Florian Thamm; Gregor Körzdörfer; Christopher Syben; Franziska Schirrmacher; Mathias Nittka; Josef Pfeuffer; Heiko Meyer; Andreas K. Maier (GMDS, 2019)

RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. - Elisabeth Hoppe; Florian Thamm; Gregor Körzdörfer; Christopher Syben; Franziska Schirrmacher; Mathias Nittka; Josef Pfeuffer; Heiko Meyer; Andreas Maier 001 (MICCAI (3), 2019)

Abstract: RinQ Fingerprinting. - Elisabeth Hoppe; Florian Thamm; Gregor Körzdörfer; Christopher Syben; Franziska Schirrmacher; Mathias Nittka; Josef Pfeuffer; Heiko Meyer; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. - Florian Thamm; Markus Jürgens; Hendrik Ditt; Andreas Maier 001 (VCBM, 2020)

Abstract: VirtualDSA++ - Automated Segmentation, Vessel Labeling, Occlusion Detection, and Graph Search on CT Angiography Data. - Florian Thamm; Markus Jürgens; Hendrik Ditt; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

SyNCCT: Synthetic Non-contrast Images of the Brain from Single-Energy Computed Tomography Angiography. - Florian Thamm; Oliver Taubmann; Felix Denzinger; Markus Jürgens; Hendrik Ditt; Andreas Maier 001 (MICCAI (7), 2021)

Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning. - Antonia Popp; Oliver Taubmann; Florian Thamm; Hendrik Ditt; Andreas K. Maier; Katharina Breininger (Bildverarbeitung für die Medizin, 2022)

Detection of Large Vessel Occlusions Using Deep Learning by Deforming Vessel Tree Segmentations. - Florian Thamm; Oliver Taubmann; Markus Jürgens; Hendrik Ditt; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

Detecting Large Vessel Occlusions using Graph Deep Learning. - Jad Kassam; Florian Thamm; Leonhard Rist; Oliver Taubmann; Andreas K. Maier (GeoMedIA, 2022)

Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. - Florian Thamm; Oliver Taubmann; Markus Jürgens; Aleksandra Thamm; Felix Denzinger; Leonhard Rist; Hendrik Ditt; Andreas Maier 001 (MICCAI (3), 2022)

Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors. - Florian Thamm; Felix Denzinger; Leonhard Rist; Celia Martín Vicario; Florian Kordon; Andreas K. Maier (CoRR, 2022)

An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes. - Florian Thamm; Markus Jürgens; Oliver Taubmann; Aleksandra Thamm; Leonhard Rist; Hendrik Ditt; Andreas K. Maier (CoRR, 2022)

Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods. - Jonas Schauer; Florian Thamm; Oliver Taubmann; Andreas K. Maier (Bildverarbeitung für die Medizin, 2023)

Detection of Pulmonary Embolisms in NCCT Data Using nnDetection. - Linda Vorberg; Florian Thamm; Hendrik Ditt; Marius Horger; Florian Hagen; Andreas K. Maier (Bildverarbeitung für die Medizin, 2023)

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. - Kai Packhäuser; Lukas Folle; Florian Thamm; Andreas Maier 001 (ISBI, 2023)

Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. - Leonhard Rist; Oliver Taubmann; Alexander Mühlberg; Felix Denzinger; Florian Thamm; Michael Sühling; Dominik Nörenberg; Julian Walter Holch; Stefan Maurus; Leonie Gebauer; Thomas Huber; Andreas Maier 001 (ISBI, 2023)

Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. - Kai Packhäuser; Sebastian Gündel; Florian Thamm; Felix Denzinger; Andreas K. Maier (MICCAI (3), 2023)

Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients. - Leonhard Rist; Oliver Taubmann; Florian Thamm; Hendrik Ditt; Michael Sühling; Andreas Maier 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs. - Kai Packhäuser; Lukas Folle; Tri-Thien Nguyen; Florian Thamm; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. - Kai Packhäuser; Sebastian Gündel; Florian Thamm; Felix Denzinger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)