Johannes Keustermans

According to our database1, Johannes Keustermans authored at least 13 papers between 2009 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data.
CoRR, 2024

2013
meshSIFT: Local surface features for 3D face recognition under expression variations and partial data.
Comput. Vis. Image Underst., 2013

2012
Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Feature-based piecewise rigid registration in 2-D medical images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
SHREC 2011: robust feature detection and description benchmark
CoRR, 2011

Automated planning of ablation targets in atrial fibrillation treatment.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Automated Cephalometric Landmark Localization Using Sparse Shape and Appearance Models.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

CT-based robust statistical shape modeling for forensic craniofacial reconstruction.
Proceedings of the 4th International Conference on Imaging for Crime Detection and Prevention, 2011

Symmetric surface-feature based 3D face recognition for partial data.
Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011


2010
Automated Cephalometric Landmark Identification Using Shape and Local Appearance Models.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Feature detection on 3D face surfaces for pose normalisation and recognition.
Proceedings of the Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010

2009
Image Segmentation Using Graph Representations and Local Appearance and Shape Models.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2009


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