Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Schaufelberger Matthias"'
Autor:
Becker Anna Maria, Schaufelberger Matthias, Kühle Reinald Peter, Freudlsperger Christian, Nahm Werner
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 198-201 (2023)
Introduction: 3D surface scan-based diagnosis of craniosynostosis is a promising radiation-free alternative to traditional diagnosis using computed tomography. The cranial index (CI) and the cranial vault asymmetry index (CVAI) are well-established c
Externí odkaz:
https://doaj.org/article/787a1f60d33d41bfba964843cba0fb9a
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 138-141 (2023)
The application of machine learning approaches in medical technology is gaining more and more attention. Due to the high restrictions for collecting intraoperative patient data, synthetic data is increasingly used to support the training of artificia
Externí odkaz:
https://doaj.org/article/ef4032b918e84e69a1ddf74e0ebe47ba
Autor:
Kaiser Christian, Schaufelberger Matthias, Kühle Reinald Peter, Wachter Andreas, Weichel Frederic, Hagen Niclas, Ringwald Friedemann, Eisenmann Urs, Engel Michael, Freudlsperger Christian, Nahm Werner
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 17-20 (2022)
Craniosynostosis is a congenital disease characterized by the premature closure of one or multiple sutures of the infant’s skull. For diagnosis, 3D photogrammetric scans are a radiation-free alternative to computed tomography. However, data is only
Externí odkaz:
https://doaj.org/article/3e928e73d32845a2848207d68256b935
Autor:
Schaufelberger Matthias, Kühle Reinald, Weichel Frederic, Wachter Andreas, Hagen Niclas, Ringwald Friedemann, Eisenmann Urs, Freudlsperger Christian, Nahm Werner
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 2, Pp 191-194 (2021)
This contribution is part of a project concerning the creation of an artificial dataset comprising 3D head scans of craniosynostosis patients for a deep-learning-based classification. To conform to real data, both head and neck are required in the 3D
Externí odkaz:
https://doaj.org/article/e2582212c0c34298a07e8511e8b2b4d4
Autor:
Schaufelberger, Matthias, Kühle, Reinald Peter, Wachter, Andreas, Weichel, Frederic, Hagen, Niclas, Ringwald, Friedemann, Eisenmann, Urs, Hoffmann, Jürgen, Engel, Michael, Freudlsperger, Christian, Nahm, Werner
Introduction: Photogrammetric surface scans provide a radiation-free option to assess and classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient restrictions, clinical data is rare. Synthetic data could support or e
Externí odkaz:
http://arxiv.org/abs/2310.10199
Autor:
Schaufelberger, Matthias, Kühle, Reinald Peter, Wachter, Andreas, Weichel, Frederic, Hagen, Niclas, Ringwald, Friedemann, Eisenmann, Urs, Hoffmann, Jürgen, Engel, Michael, Freudlsperger, Christian, Nahm, Werner
The assessment of craniofacial deformities requires patient data which is sparsely available. Statistical shape models provide realistic and synthetic data enabling comparisons of existing methods on a common dataset. We build the first publicly avai
Externí odkaz:
http://arxiv.org/abs/2201.03288
Autor:
Schuler, Steffen, Schaufelberger, Matthias, Bear, Laura R., Bergquist, Jake A., Cluitmans, Matthijs J. M., Coll-Font, Jaume, Onak, Önder N., Zenger, Brian, Loewe, Axel, MacLeod, Rob S., Brooks, Dana H., Dössel, Olaf
Publikováno v:
IEEE Transactions on Biomedical Engineering, 2021
Objective: To investigate cardiac activation maps estimated using electrocardiographic imaging and to find methods reducing line-of-block (LoB) artifacts, while preserving real LoBs. Methods: Body surface potentials were computed for 137 simulated ve
Externí odkaz:
http://arxiv.org/abs/2108.06602
Akademický článek
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Akademický článek
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Autor:
Schaufelberger, Matthias1 (AUTHOR) andreas.wachter@kit.edu, Kühle, Reinald2 (AUTHOR) reinald.kuehle@med.uni-heidelberg.de, Wachter, Andreas1 (AUTHOR) werner.nahm@kit.edu, Weichel, Frederic2 (AUTHOR) frederic.weichel@med.uni-heidelberg.de, Hagen, Niclas3 (AUTHOR) niclas.hagen@med.uni-heidelberg.de, Ringwald, Friedemann3 (AUTHOR) friedemann.ringwald@med.uni-heidelberg.de, Eisenmann, Urs3 (AUTHOR) urs.eisenmann@med.uni-heidelberg.de, Hoffmann, Jürgen2 (AUTHOR) juergen.hoffman@med.uni-heidelberg.de, Engel, Michael2 (AUTHOR) michael.engel@med.uni-heidelberg.de, Freudlsperger, Christian2 (AUTHOR) christian.freudlsperger@med.uni-heidelberg.de, Nahm, Werner1 (AUTHOR)
Publikováno v:
Diagnostics (2075-4418). Jul2022, Vol. 12 Issue 7, pN.PAG-N.PAG. 17p.