no code implementations • 14 Mar 2024 • Maximilian Neidhardt, Robin Mieling, Sarah Latus, Martin Fischer, Tobias Maurer, Alexander Schlaefer
We propose modifying a da~Vinci surgical instrument to realize optical coherence elastography (OCE) for quantitative elasticity estimation.
no code implementations • 12 Jun 2023 • Robin Mieling, Maximilian Neidhardt, Sarah Latus, Carolin Stapper, Stefan Gerlach, Inga Kniep, Axel Heinemann, Benjamin Ondruschka, Alexander Schlaefer
Robotic trajectory guidance has been shown to improve needle positioning, but feedback for real-time navigation is limited.
no code implementations • 26 Apr 2023 • Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer
Needle positioning is essential for various medical applications such as epidural anaesthesia.
no code implementations • 11 Apr 2022 • Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Stefan Gerlach, Christian J. Cyron, Johanna Sprenger, Alexander Schlaefer
The results show that our approach can estimate elastic properties on a pixelwise basis with a mean absolute error of 5. 01+-4. 37 kPa.
no code implementations • 20 Sep 2021 • Robin Mieling, Johanna Sprenger, Sarah Latus, Lennart Bargsten, Alexander Schlaefer
The distinction between malignant and benign tumors is essential to the treatment of cancer.
no code implementations • 10 Feb 2019 • Nils Gessert, Matthias Schlüter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer
As the results were promising, automatic classification of lesions might be feasible which could assist experts in their decision making.
no code implementations • 19 Jan 2019 • Max-Heinrich Laves, Sarah Latus, Jan Bergmeier, Tobias Ortmaier, Lüder A. Kahrs, Alexander Schlaefer
The resulting volumentric images provide additional information on the shape of caveties in the bone structure, which will be useful for image-to-patient registration and to estimate the drill trajectory.
no code implementations • 22 Oct 2018 • Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer
Typically, the scaffold is manually reviewed by an expert, analyzing each of the hundreds of image slices.
no code implementations • 13 Aug 2018 • Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer
Our results indicate that building a deep learning-based clinical decision support system for plaque detection is feasible.
no code implementations • 16 May 2018 • Nils Gessert, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Matthias Lutz, Alexander Schlaefer
Deep learning methods have shown impressive results for a variety of medical problems over the last few years.
no code implementations • 11 Apr 2018 • Nils Gessert, Markus Heyder, Sarah Latus, Matthias Lutz, Alexander Schlaefer
Advanced atherosclerosis in the coronary arteries is one of the leading causes of deaths worldwide while being preventable and treatable.