Florian Thamm

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Computed Tomography Angiography

Chest Radiographs

Automated Segmentation

Top Venues

Bildverarbeitung für die Medizin

Publications

Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. Bildverarbeitung für die Medizin (2024)
Kai Packhäuser, Lukas Folle, Tri-Thien Nguyen, Florian Thamm, Andreas K. Maier
Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs. Bildverarbeitung für die Medizin (2024)
Leonhard Rist, Oliver Taubmann, Florian Thamm, Hendrik Ditt, Michael Sühling, Andreas Maier
Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients. Int. J. Comput. Assist. Radiol. Surg. 18 (3) (2023)
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
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. ISBI (2023)
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. MICCAI (3) (2023)
Jonas Schauer, Florian Thamm, Oliver Taubmann, Andreas K. Maier
Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods. Bildverarbeitung für die Medizin (2023)
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. ISBI (2023)
Linda Vorberg, Florian Thamm, Hendrik Ditt, Marius Horger, Florian Hagen, Andreas K. Maier
Detection of Pulmonary Embolisms in NCCT Data Using nnDetection. Bildverarbeitung für die Medizin (2023)
Florian Thamm, Oliver Taubmann, Markus Jürgens, Hendrik Ditt, Andreas K. Maier
Detection of Large Vessel Occlusions Using Deep Learning by Deforming Vessel Tree Segmentations. Bildverarbeitung für die Medizin (2022)
Antonia Popp, Oliver Taubmann, Florian Thamm, Hendrik Ditt, Andreas K. Maier, Katharina Breininger
Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning. Bildverarbeitung für die Medizin (2022)
Florian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas Maier
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. MICCAI (3) (2022)
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy. CoRR (2022)
Florian Thamm, Felix Denzinger, Leonhard Rist, Celia Martín Vicario, Florian Kordon, Andreas K. Maier
Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors. CoRR (2022)
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas K. Maier
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. CoRR (2022)
Jad Kassam, Florian Thamm, Leonhard Rist, Oliver Taubmann, Andreas K. Maier
Detecting Large Vessel Occlusions using Graph Deep Learning. GeoMedIA (2022)
Florian Thamm, Markus Jürgens, Oliver Taubmann, Aleksandra Thamm, Leonhard Rist, Hendrik Ditt, Andreas K. Maier
An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes. CoRR (2022)
Florian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas K. Maier
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. CoRR (2022)
Florian Thamm, Oliver Taubmann, Markus Jürgens, Hendrik Ditt, Andreas K. Maier
Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations. CoRR (2021)
Florian Thamm, Oliver Taubmann, Felix Denzinger, Markus Jürgens, Hendrik Ditt, Andreas Maier
SyNCCT: Synthetic Non-contrast Images of the Brain from Single-Energy Computed Tomography Angiography. MICCAI (7) (2021)
Florian Thamm, Markus Jürgens, Hendrik Ditt, Andreas Maier
Abstract: VirtualDSA++ - Automated Segmentation, Vessel Labeling, Occlusion Detection, and Graph Search on CT Angiography Data. Bildverarbeitung für die Medizin (2021)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier
Abstract: RinQ Fingerprinting. Bildverarbeitung für die Medizin (2020)
Florian Thamm, Markus Jürgens, Hendrik Ditt, Andreas Maier
VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. VCBM (2020)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. MICCAI (3) (2019)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. GMDS (2019)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. CoRR (2019)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting. CoRR (2019)