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Development of an expert system to automate the treatment of 3D surface modelsTarget of this research project is the development of an expert system capable
of controlling a CAD-Software for medical prosthesis manufacturing. The usage of
an expert system on one hand increases the availability of the knowledge needed
to build such a medical prosthesis and on the other hand increases the
reproducibility and consistency of the resulting prosthesis by reducing the
human interaction.The project is divided in three subprojects:
1. Acquisition of the available knowledge and implementation of the initial
knowledge base.
2. Evaluation and correction of the initial knowledge base.
3. Applying machine learning techniques to further improve and update the
expert system. Subprojects 1 and 2 are complete. In subproject 3 currently supervised learning
techniques like genetic programming as well as unsupervised learning techniques
like data clustering are researched and evaluated. | Project manager: Prof. Dr.-Ing. Joachim Hornegger
Project participants: Dr.-Ing. Konrad Sickel
Keywords: Medical Imaging, Expert Systems, Artificial Intelligence
Duration: 1.4.2007 - 30.9.2010
Sponsored by: Siemens AG
Contact: Sickel, Konrad E-Mail: konrad.sickel@informatik.uni-erlangen.de
| Publications |
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Sickel, Konrad: Shortest Path Search with Constraints on Surface Models of In-ear Hearing Aids. In: Scharff, Peter (Ed.) : 52. IWK, Internationales Wissenschaftliches Kolloquium (Computer science meets automation Ilmenau 10. - 13.09.2007). Vol. 2, 1. Edition Ilmenau : TU Ilmenau Universitätsbibliothek, 2007, pp 221-226. - ISBN 978-3-939473-17-6 | Baloch, Sajjad ; Sickel, Konrad ; Bubnik, Vojtech ; Melkisetoglu, Rupen ; Azernikov, Sergei ; Reh, Andreas ; Boltyenkov, Artem ; Fang, Tong : Feature Driven Rule Based Framework for Automatic Modeling of Organic Shapes in the Design of Personalized Medical Prosthetics. In: Springer (Ed.) : Medical Imaging and Augmented Reality (5th International Workshop on Medical Imaging and Augmented Reality Beijing, China 19-20.09.2010). Berlin / Heidelberg : Springer, 2010, pp 128-138. (Lecture Notes in Computer Science, No. 6326) - ISBN 978-3-642-15698-4 | Sickel, Konrad ; Hornegger, Joachim: Genetic Programming for Expert Systems. In: Institute of Electrical and Electronics Engineers (IEEE) (Ed.) : WCCI 2010 IEEE World Congress on Computational Intelligence (IEEE Congress on Evolutionary Computation (IEEE CEC 2010) Barcelona 18.-23.07. 2010). Red Hook, NY, USA : Curran Associates, Inc., 2010, pp 2695-2702. | Sickel, Konrad ; Bubnik, Vojtech: Iterative Closest Point Algorithm for Rigid Registration of Ear Impressions. In: Bauman Moscow State Technical University (Org.) : Proceedings of the 6-th Russian-Bavarian Conference on Bio-Medical Engineering (6th Russian Bavarian Conference on Bio-Medical Engineering Moscow, Russia 8-12.11.2010). 2010, pp 142-145. | Sickel, Konrad ; Baloch, Sajjad ; Bubnik, Vojtech ; Melkisetoglu, Rupen ; Azernikov, Sergei ; Fang, Tong ; Hornegger, Joachim: Semi-Automatic Manufacturing of Customized Hearing Aids Using a Feature Driven Rule-based Framework. In: Magnor, Marcus A. ; Rosenhahn, Bodo ; Theisel, Holger (Ed.) : Proceedings of the Vision, Modeling, and Visualization Workshop 2009 (Vision, Modeling, and Visualization Workshop 2009 Braunschweig, Germany November 16-18, 2009). 1. Edition Magdeburg : Universität Magdeburg Institut fuer Simulation und Graphik, 2009, pp 305-312. - ISBN 978-3-9804874-8-1 |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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