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2020 – today
- 2024
[c17]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: 27-32- [c16]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: 363 - 2023
- [j1]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): 509-516 (2023) - [c15]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: 57-62 - [c14]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: 122-127 - [c13]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: 1-5 - [c12]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: 1-5 - [c11]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: 262-272 - 2022
- [c10]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: 44-49 - [c9]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: 153-158 - [c8]Jad Kassam, Florian Thamm, Leonhard Rist, Oliver Taubmann, Andreas K. Maier:
Detecting Large Vessel Occlusions using Graph Deep Learning. GeoMedIA 2022: 149-159 - [c7]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: 634-643 - [i8]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 abs/2201.06259 (2022) - [i7]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 abs/2204.12333 (2022) - [i6]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 abs/2205.02848 (2022) - [i5]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 abs/2209.11531 (2022) - [i4]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 abs/2211.01323 (2022) - 2021
- [c6]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: 323 - [c5]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: 681-690 - [i3]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 abs/2112.01797 (2021) - 2020
- [c4]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: 184 - [c3]Florian Thamm, Markus Jürgens, Hendrik Ditt, Andreas Maier:
VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. VCBM 2020: 151-155
2010 – 2019
- 2019
- [c2]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: 126-133 - [c1]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: 92-100 - [i2]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 abs/1907.05277 (2019) - [i1]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 abs/1909.06395 (2019)
Coauthor Index
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