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pro vyhledávání: '"Thamm, Florian"'
The availability of large-scale chest X-ray datasets is a requirement for developing well-performing deep learning-based algorithms in thoracic abnormality detection and classification. However, biometric identifiers in chest radiographs hinder the p
Externí odkaz:
http://arxiv.org/abs/2211.01323
Robust and reliable anonymization of chest radiographs constitutes an essential step before publishing large datasets of such for research purposes. The conventional anonymization process is carried out by obscuring personal information in the images
Externí odkaz:
http://arxiv.org/abs/2209.11531
Autor:
Thamm, Florian, Taubmann, Oliver, Jürgens, Markus, Thamm, Aleksandra, Denzinger, Felix, Rist, Leonhard, Ditt, Hendrik, Maier, Andreas
Ischemic strokes are often caused by large vessel occlusions (LVOs), which can be visualized and diagnosed with Computed Tomography Angiography scans. As time is brain, a fast, accurate and automated diagnosis of these scans is desirable. Human reade
Externí odkaz:
http://arxiv.org/abs/2205.02848
Autor:
Thamm, Florian, Jürgens, Markus, Taubmann, Oliver, Thamm, Aleksandra, Rist, Leonhard, Ditt, Hendrik, Maier, Andreas
During the diagnosis of ischemic strokes, the Circle of Willis and its surrounding vessels are the arteries of interest. Their visualization in case of an acute stroke is often enabled by Computed Tomography Angiography (CTA). Still, the identificati
Externí odkaz:
http://arxiv.org/abs/2204.12333
Autor:
Thamm, Florian, Denzinger, Felix, Rist, Leonhard, Vicario, Celia Martin, Kordon, Florian, Maier, Andreas
In this report we want to present our method and results for the Carotid Artery Vessel Wall Segmentation Challenge. We propose an image-based pipeline utilizing the U-Net architecture and location priors to solve the segmentation problem at hand.
Externí odkaz:
http://arxiv.org/abs/2201.06259
Computed Tomography Angiography is a key modality providing insights into the cerebrovascular vessel tree that are crucial for the diagnosis and treatment of ischemic strokes, in particular in cases of large vessel occlusions (LVO). Thus, the clinica
Externí odkaz:
http://arxiv.org/abs/2112.01797
Akademický článek
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Autor:
Hoppe, Elisabeth, Thamm, Florian, Körzdörfer, Gregor, Syben, Christopher, Schirrmacher, Franziska, Nittka, Mathias, Pfeuffer, Josef, Meyer, Heiko, Maier, Andreas
Publikováno v:
Studies in Health Technology and Informatics [01 Sep 2019, 267:126-133]
Magnetic Resonance Fingerprinting (MRF) is an imaging technique acquiring unique time signals for different tissues. Although the acquisition is highly accelerated, the reconstruction time remains a problem, as the state-of-the-art template matching
Externí odkaz:
http://arxiv.org/abs/1909.06395
Autor:
Hoppe, Elisabeth, Thamm, Florian, Körzdörfer, Gregor, Syben, Christopher, Schirrmacher, Franziska, Nittka, Mathias, Pfeuffer, Josef, Meyer, Heiko, Maier, Andreas
Recently, Magnetic Resonance Fingerprinting (MRF) was proposed as a quantitative imaging technique for the simultaneous acquisition of tissue parameters such as relaxation times $T_1$ and $T_2$. Although the acquisition is highly accelerated, the sta
Externí odkaz:
http://arxiv.org/abs/1907.05277
Autor:
Thamm, Aleksandra1 (AUTHOR) aleksandra.thamm@fau.de, Thamm, Florian1 (AUTHOR) sally.zeitler@fau.de, Sawodny, Annette2 (AUTHOR) annette.sawodny@fau.de, Zeitler, Sally1 (AUTHOR) andreas.maier@fau.de, Merklein, Marion2 (AUTHOR) marion.merklein@fau.de, Maier, Andreas1 (AUTHOR)
Publikováno v:
Materials (1996-1944). Nov2023, Vol. 16 Issue 21, p7001. 17p.