IBT Publications by Wachter


Journal Articles (8)

A. Wachter, and W. Nahm.
Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks.
In eprint, 2021
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A. Wachter, J. Kost, and W. Nahm.
Simulation-Based Estimation of the Number of Cameras Required for 3D Reconstruction in a Narrow-Baseline Multi-Camera Setup.
In Journal of Imaging, vol. 7(5) , pp. 87, 2021
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A. Wachter, A. Loewe, M. W. Krueger, O. Dössel, and G. Seemann.
Mesh structure-independent modeling of patient-specific atrial fiber orientation.
In Current Directions in Biomedical Engineering, vol. 1(1) , pp. 409-412, 2015
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M. Schaufelberger, R. Kühle, A. Wachter, F. Weichel, N. Hagen, F. Ringwald, U. Eisenmann, J. Hoffmann, M. Engel, C. Freudlsperger, and W. Nahm.
A Radiation-Free Classification Pipeline for Craniosynostosis Using Statistical Shape Modeling.
In Diagnostics, vol. 12(7) , pp. 1516, 2022
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T. Gerach, S. Schuler, A. Wachter, and A. Loewe.
The Impact of Standard Ablation Strategies for Atrial Fibrillation on Cardiovascular Performance in a Four-chamber Heart Model.
In arXiv, 2022
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R. Andlauer, A. Wachter, M. Schaufelberger, F. Weichel, R. Kuhle, C. Freudlsperger, and W. Nahm.
3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Operative Outcome After Cranio-Maxillofacial Surgery.
In IEEE Transactions on Image Processing, vol. 30, pp. 7349-7363, 2021
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M. Schaufelberger, R. Kühle, F. Weichel, A. Wachter, N. Hagen, F. Ringwald, U. Eisenmann, C. Freudlsperger, and W. Nahm.
Laplace-Beltrami Refined Shape Regression Applied to Neck Reconstruction for Craniosynostosis Patients.
In Current Directions in Biomedical Engineering, vol. 7(2) , pp. 191-194, 2021
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S. Schuler, A. Wachter, and O. Dössel.
Electrocardiographic Imaging Using a Spatio-Temporal Basis of Body Surface Potentials—Application to Atrial Ectopic Activity.
In Frontiers in Physiology, vol. 9:1126, 2018
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Conference Contributions (4)

A. Wachter, A. Mohra, and W. Nahm.
Development of a real-time virtual reality environment for visualization of fully digital microscope datasets.
In Proceedings of SPIE, vol. 10868, pp. 108681F1-9, 2019
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A. Wachter, J. Kost, and W. Nahm.
MATLAB Simulation Environment for Estimating the Minimal Number and Positions of Cameras for 3D Surface Reconstruction in a Fully-Digital Surgical Microscope.
In Current Directions in Biomedical Engineering, vol. 4(1) , pp. 517-520, 2018
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E. Dicke, A. Wachter, and W. Nahm.
Estimation of the interpolation error of a three-step rotation algorithm using recorded images with rotated test pattern as ground truth.
In Current Directions in Biomedical Engineering, vol. 3(2) , pp. 555-558, 2017
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C. Marzi, A. Wachter, and W. Nahm.
Design of an experimental four-camera setup for enhanced 3D surface reconstruction in microsurgery.
In Current Directions in Biomedical Engineering, vol. 3(2) , pp. 539–542, 2017
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Dissertations (1)

A. Wachter.
Generation of Artificial Image and Video Data for Medical Deep Learning Applications.
Karlsruher Institut für Technologie (KIT). Dissertation. 2022
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Student Theses (1)

A. Wachter.
Model-Structure-Independent, Rule-Based Annotation of Atrial Fiber Orientation and Ablation Patterns for an in Silico Assessment of their Arrhythmogenic Potential.
Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT). Diplomarbeit. 2015
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