no code implementations • 22 May 2023 • Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buss, Johannes Görich, Michael Sühling, Andreas Maier
If a patient exhibits a Shepherd's Crook (SC) Right Coronary Artery (RCA) - an anatomical norm variant of the coronary vasculature - the complexity of this procedure is increased.
1 code implementation • 5 Dec 2022 • Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas Maier
The cost function is parameterized by a trained neural network which regresses an image quality metric from the motion affected reconstruction alone.
no code implementations • 11 Nov 2022 • Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas Maier
Users could not detect 52. 12% of generated images by DM proofing the feasibility to replace the original cells with synthetic cells without being noticed.
1 code implementation • 2 Nov 2022 • Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas Maier
In this work, we present an end-to-end trainable CT reconstruction pipeline that contains denoising operators in both the projection and the image domain and that are optimized simultaneously without requiring ground-truth high-dose CT data.
no code implementations • 28 Oct 2022 • Alexander Mühlberg, Paul Ritter, Simon Langer, Chloë Goossens, Stefanie Nübler, Dominik Schneidereit, Oliver Taubmann, Felix Denzinger, Dominik Nörenberg, Michael Haug, Wolfgang H. Goldmann, Andreas K. Maier, Oliver Friedrich, Lucas Kreiss
Deep learning (DL) shows notable success in biomedical studies.
1 code implementation • 23 Sep 2022 • Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas Maier
Therefore, there is an urgent need to obfuscate the biometric information appearing in the images.
no code implementations • 15 Jul 2022 • Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas Maier
Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality.
no code implementations • 26 May 2022 • Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas Maier, Alexander Mühlberg
Reliably detecting diseases using relevant biological information is crucial for real-world applicability of deep learning techniques in medical imaging.
no code implementations • 5 May 2022 • Florian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas Maier
The best configuration detects LVOs with an AUC of 0. 91, LVOs in the ICA with an AUC of 0. 96, and in the MCA with 0. 91 while accurately predicting the affected side.
no code implementations • 8 Feb 2022 • Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier, Katharina Breininger
With coronary artery disease (CAD) persisting to be one of the leading causes of death worldwide, interest in supporting physicians with algorithms to speed up and improve diagnosis is high.
no code implementations • 17 Jan 2022 • Florian Thamm, Felix Denzinger, Leonhard Rist, Celia Martin Vicario, Florian Kordon, Andreas Maier
In this report we want to present our method and results for the Carotid Artery Vessel Wall Segmentation Challenge.
no code implementations • 5 Nov 2021 • Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof A. Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas Maier
Annotating data, especially in the medical domain, requires expert knowledge and a lot of effort.
no code implementations • 15 Sep 2021 • Celia Martin Vicario, Florian Kordon, Felix Denzinger, Jan Siad El Barbari, Maxim Privalov, Jochen Franke, Sarina Thomas, Lisa Kausch, Andreas Maier, Holger Kunze
The most important benefit of the MTL approach is that it is a single network for standard plane regression for all body regions with a reduced number of stored parameters.
no code implementations • 11 Jan 2021 • Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max Schöbinger, Andreas Maier, Michael Sühling
However, to enable clinical research with the help of these algorithms, a software solution, which enables manual correction, comprehensive visual feedback and tissue analysis capabilities, is needed.
no code implementations • 5 Oct 2020 • Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier
Coronary CT angiography (CCTA) has established its role as a non-invasive modality for the diagnosis of coronary artery disease (CAD).
no code implementations • 13 Dec 2019 • Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
Analysing coronary artery plaque segments with respect to their functional significance and therefore their influence to patient management in a non-invasive setup is an important subject of current research.
no code implementations • 12 Dec 2019 • Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
A second approach is based on deep learning and relies on centerline extraction as sole prerequisite.