35 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Otto-von-Guericke-Universität MagdeburgDE3 papers
- Leibniz University HannoverDE2 papers
- Medizinische Hochschule HannoverDE2 papers
- BioTechMed-GrazAT1 paper
- Freie Universität BerlinDE1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
- German Centre for Cardiovascular ResearchDE1 paper
- German Primate CenterDE1 paper
- Graz University of TechnologyAT1 paper
- Humboldt-Universität zu BerlinDE1 paper
- IDEXX Laboratories (Germany)DE1 paper
- Idorsia Pharmaceuticals Ltd (Switzerland)CH1 paper
10 papers
Fine and Hyperfine Interactions with Multi-level Spin Relaxation of the purified Giese-Salt in Veterinary Medicine: Prussian Blue Compound Ammonium-Ferric-Hexacyano-Ferrate
Sascha Albert Bräuninger, Damian Alexander Motz, Sebastian Praetz +6
Ammonium ferric hexacyanoferrate is a veterinary-medical milestone and antidote against radiocesium, well-known as Giese-salt after the Chernobyl disaster fed to domestic and wild…
Canine Clinical Gait Analysis for Orthopedic and Neurological Disorders: An Inertial Deep-Learning Approach
Netta Palez, Léonie Straß, Sebastian Meller +3
Canine gait analysis using wearable inertial sensors is gaining attention in veterinary clinical settings, as it provides valuable insights into a range of mobility impairments. Ne…
Escape Room combined with European Board Game Concepts for self-adjusted Challenge Levels: An educational Eurogame Escape Room in Physics
Sascha Albert Bräuninger, Damian Alexander Motz, Matthias Lüpke +1
We present an educational escape room in physics (ERP) covering the main disciplines of physics as taught in the education of neighboring sciences, in this case veterinary medicine…
Optimal Design for Estimating the Mean Ability over Time in Repeated Item Response Testing
Fritjof Freise, Heinz Holling, Rainer Schwabe
We present general results on D-optimal designs for estimating the mean response in repeated measures growth curve models with metric outcomes. For this situation, we derive a nove…
Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction
Xiaoqing Wang, Sebastian Rosenzweig, Volkert Roeloffs +7
Purpose: To develop a free-breathing myocardial T1 mapping technique using inversion-recovery (IR) radial fast low-angle shot (FLASH) and calibrationless motion-resolved model-base…
Embedding digital chronotherapy into medical devices -- A canine validation for controlling status epilepticus through multi-scale rhythmic brain stimulation
Mayela Zamora, Sebastian Meller, Filip Kajin +10
Circadian and other physiological rhythms play a key role in both normal homeostasis and disease processes. Such is the case of circadian and infradian seizure patterns observed in…
How Many Annotators Do We Need? -- A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment
Frauke Wilm, Christof A. Bertram, Christian Marzahl +23
Density of mitotic figures in histologic sections is a prognostically relevant characteristic for many tumours. Due to high inter-pathologist variability, deep learning-based algor…
-optimal designs for Poisson regression with synergetic interaction effect
Fritjof Freise, Ulrike Graßhoff, Frank Röttger +1
We characterize -optimal designs in the two-dimensional Poisson regression model with synergetic interaction and provide an explicit proof. The proof is based on the idea of rep…
Convergence of least squares estimators in the adaptive Wynn algorithm for a class of nonlinear regression models
Fritjof Freise, Norbert Gaffke, Rainer Schwabe
The paper continues the authors' work on the adaptive Wynn algorithm in a nonlinear regression model. In the present paper it is shown that if the mean response function satisfies…
The adaptive Wynn-algorithm in generalized linear models with univariate response
Fritjof Freise, Norbert Gaffke, Rainer Schwabe
For a nonlinear regression model the information matrices of designs depend on the parameter of the model. The adaptive Wynn-algorithm for D-optimal design estimates the parameter…