activity
20192023
most citedExploring Benefits of Linear Solver Parallelism on Modern Nonlinear Optimization Applications

6 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023★ 1 cited

Impact of Data Synthesis Strategies for the Classification of Craniosynostosis

Matthias Schaufelberger, Reinald Peter Kühle, Andreas Wachter +8

Introduction: Photogrammetric surface scans provide a radiation-free option to assess and classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient…

physics.bio-ph2022

The Impact of Standard Ablation Strategies for Atrial Fibrillation on Cardiovascular Performance in a Four-chamber Heart Model

Tobias Gerach, Steffen Schuler, Andreas Wachter +1

Atrial fibrillation is one of the most frequent cardiac arrhythmias in the industrialized world and ablation therapy is the method of choice for many patients. However, ablation sc…

eess.IV2022★ 4 cited

A statistical shape model for radiation-free assessment and classification of craniosynostosis

Matthias Schaufelberger, Reinald Peter Kühle, Andreas Wachter +8

The assessment of craniofacial deformities requires patient data which is sparsely available. Statistical shape models provide realistic and synthetic data enabling comparisons of…

eess.IV2021

Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks

Andreas Wachter, Werner Nahm

Supervised training of neural networks requires large, diverse and well annotated data sets. In the medical field, this is often difficult to achieve due to constraints in time, ex…

math.OC2019★ 6 cited

Exploring Benefits of Linear Solver Parallelism on Modern Nonlinear Optimization Applications

Byron Tasseff, Carleton Coffrin, Andreas Wächter +1

The advent of efficient interior point optimization methods has enabled the tractable solution of large-scale linear and nonlinear programming (NLP) problems. A prominent example o…