Florian Thamm

Friedrich-Alexander-Universität Erlangen-Nürnberg — Germany

Medicine · Health Sciences

6h-index156citations32works3.42yr avg
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Research Topics

Cerebrovascular and Carotid Artery Diseases(12), Acute Ischemic Stroke Management(9), Retinal Imaging and Analysis(7), AI in cancer detection(6), Advanced MRI Techniques and Applications(5)

Publications32 total

Deep learning based drill wear segmentation and analysis of the wear progress
International Journal on Interactive Design and Manufacturing (IJIDeM)·2024
Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm – a single centre retrospective study
The International Journal of Cardiovascular Imaging·2024· 5 cited
Uncertainty-aware deep learning for trustworthy prediction of long-term outcome after endovascular thrombectomy
Scientific Reports·2024· 11 citedOpen Access
Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs
Informatik aktuell·2024· 1 cited
Abstract: Utility-preserving Measure for Patient Privacy
Informatik aktuell·2024Open Access
Unsupervised Deep Learning for Advanced Forming Limit Analysis in Sheet Metal: A Tensile Test-Based Approach
Materials·2023· 5 citedOpen Access
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression
2023
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
2023· 56 cited
Detection of Pulmonary Embolisms in NCCT Data Using nnDetection
Informatik aktuell·2023· 1 cited
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy
Lecture notes in computer science·2023· 7 cited
Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods
Informatik aktuell·2023
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
arXiv (Cornell University)·2022· 12 citedOpen Access
Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients
International Journal of Computer Assisted Radiology and Surgery·2022· 5 citedOpen Access
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy
arXiv (Cornell University)·2022· 3 citedOpen Access
An algorithm for the labeling and interactive visualization of the cerebrovascular system of ischemic strokes
Biomedical Physics & Engineering Express·2022· 4 citedOpen Access
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection
arXiv (Cornell University)·2022Open Access
An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes
arXiv (Cornell University)·2022Open Access
Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors
arXiv (Cornell University)·2022· 2 citedOpen Access
Detection of Large Vessel Occlusions Using Deep Learning by Deforming Vessel Tree Segmentations
Informatik aktuell·2022· 4 cited
Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning
Informatik aktuell·2022· 2 cited
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Frequent Co-authors

Andreas Maier(32), Hendrik Ditt(15), Oliver Taubmann(12), Felix Denzinger(8), Leonhard Rist(7), Aleksandra Thamm(7), Kai Packhäuser(6), Markus Jürgens(6), Elisabeth Hoppe(5), Gregor Körzdörfer(5), Christopher Syben(5), Franziska Schirrmacher(5), Mathias Nittka(5), Josef Pfeuffer(5), Heiko Meyer(5), Markus Jürgens(4), Lukas Folle(3), Sebastian Gündel(3), Celia Martín Vicario(2), Michael Sühling(2)