Florian Thamm

Lehrstuhl für Informatik 5 (Mustererkennung)

Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs (2024) Packhäuser K, Folle L, Nguyen TT, Thamm F, Maier A Conference contribution, Conference Contribution Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm – a single centre retrospective study (2024) Hagen F, Vorberg L, Thamm F, Ditt H, Maier A, Brendel JM, Ghibes P, et al. Journal article Unsupervised Deep Learning for Advanced Forming Limit Analysis in Sheet Metal: A Tensile Test-Based Approach (2023) Thamm A, Thamm F, Sawodny A, Zeitler S, Merklein M, Maier A Journal article Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods (2023) Schauer J, Thamm F, Taubmann O, Maier A Conference contribution, Original article Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy (2023) Packhäuser K, Gündel S, Thamm F, Denzinger F, Maier A Conference contribution, Original article Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression (2023) Rist L, Taubmann O, Muhlberg A, Denzinger F, Thamm F, Sühling M, Norenberg D, et al. Conference contribution Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems (2023) Packhäuser K, Folle L, Thamm F, Maier A Conference contribution, Original article Detection of Pulmonary Embolisms in NCCT Data Using nnDetection (2023) Vorberg L, Thamm F, Ditt H, Horger M, Hagen F, Maier A Conference contribution, Conference Contribution Detecting Large Vessel Occlusions using Graph Deep Learning (2022) Kassam J, Thamm F, Rist L, Taubmann O, Maier A Conference contribution, Original article Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients (2022) Rist L, Taubmann O, Thamm F, Ditt H, Sühling M, Maier A Journal article