Werner Nahm

Orcid: 0000-0001-8095-5090

According to our database1, Werner Nahm authored at least 12 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Leveraging a Statistical Shape Model for Efficient Generation of Annotated Training Data: A Case Study on Liver Landmarks Segmentation.
CoRR, March, 2026

2024
A cGAN-based network for depth estimation from bronchoscopic images.
Int. J. Comput. Assist. Radiol. Surg., January, 2024

2023
Texture synthesis for generating realistic-looking bronchoscopic videos.
Int. J. Comput. Assist. Radiol. Surg., December, 2023

3D-2D Distance Maps Conversion Enhances Classification of Craniosynostosis.
IEEE Trans. Biomed. Eng., November, 2023

2022
A statistical shape model for radiation-free assessment and classification of craniosynostosis.
CoRR, 2022

CNN-Based Classification of Craniosynostosis Using 2D Distance Maps.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Generation of Synthetic Data for the Comparison of Different 3D-3D Registration Approaches in Laparoscopic Surgery.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

On Selection of Threshold Values for Symbolic Entropy Analysis of Human Gait.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Operative Outcome After Cranio-Maxillofacial Surgery.
IEEE Trans. Image Process., 2021

Simulation-Based Estimation of the Number of Cameras Required for 3D Reconstruction in a Narrow-Baseline Multi-Camera Setup.
J. Imaging, 2021

Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks.
CoRR, 2021

2019
In Silico Modelling of Blood Vessel Segmentations for Estimation of Discretization Error in Spatial Measurement and its Impact on Quantitative Fluorescence Angiography.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019


  Loading...