Florian Thamm

According to our database, Florian Thamm authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Int. J. Comput. Assist. Radiol. Surg., March, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems.

Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Detection of Pulmonary Embolisms in NCCT Data Using nnDetection.

Linda Vorberg, Florian Thamm, Hendrik Ditt, Marius Horger, Florian Hagen, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods.

Jonas Schauer, Florian Thamm, Oliver Taubmann, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Detecting Large Vessel Occlusions using Graph Deep Learning.

Jad Kassam, Florian Thamm, Leonhard Rist, Oliver Taubmann, Andreas K. Maier

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 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

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning.

Antonia Popp, Oliver Taubmann, Florian Thamm, Hendrik Ditt, Andreas K. Maier, Katharina Breininger

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Abstract: VirtualDSA++ - Automated Segmentation, Vessel Labeling, Occlusion Detection, and Graph Search on CT Angiography Data.

Florian Thamm, Markus Jürgens, Hendrik Ditt, Andreas Maier

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data.

Florian Thamm, Markus Jürgens, Hendrik Ditt, Andreas Maier

Proceedings of the 10th Eurographics Workshop on Visual Computing for Biology and Medicine, 2020

Abstract: RinQ Fingerprinting.

Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Proceedings of the German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany, 2019