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Matthias Schaufelberger

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 15, 2021
3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Operative Outcome After Cranio-Maxillofacial SurgeryRobin Andlauer, Andreas Wachter, Matthias Schaufelberger, et al.
Computing in Cardiology|March 20, 2020
Comparison of Activation Times Estimation for Potential-Based ECG ImagingMatthias Schaufelberger, Steffen Schuler, Laura Bear, et al.
Journal of Clinical Medicine|November 25, 2023
The Use of Artificial Intelligence for the Classification of Craniofacial DeformitiesReinald Kuehle, Friedemann Ringwald, Frederic Bouffleur, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
CNN-Based Classification of Craniosynostosis Using 2D Distance MapsMatthias Schaufelberger, Reinald Peter Ktihle, Christian Kaiser, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
A Radiation-Free Classification Pipeline for Craniosynostosis Using Statistical Shape ModelingMatthias Schaufelberger, Reinald Kühle, Andreas Wachter, et al.
IEEE Transactions on Bio-Medical Engineering|May 19, 2023
3D-2D Distance Maps Conversion Enhances Classification of CraniosynostosisMatthias Schaufelberger, Christian Kaiser, Reinald Kuhle, et al.
IEEE Transactions on Bio-Medical Engineering|December 14, 2021
Reducing Line-of-Block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation MethodsSteffen Schuler, Matthias Schaufelberger, Laura R Bear, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 15, 2021
3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Operative Outcome After Cranio-Maxillofacial SurgeryRobin Andlauer, Andreas Wachter, Matthias Schaufelberger, et al.
Computing in Cardiology|March 20, 2020
Comparison of Activation Times Estimation for Potential-Based ECG ImagingMatthias Schaufelberger, Steffen Schuler, Laura Bear, et al.
Journal of Clinical Medicine|November 25, 2023
The Use of Artificial Intelligence for the Classification of Craniofacial DeformitiesReinald Kuehle, Friedemann Ringwald, Frederic Bouffleur, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
CNN-Based Classification of Craniosynostosis Using 2D Distance MapsMatthias Schaufelberger, Reinald Peter Ktihle, Christian Kaiser, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
A Radiation-Free Classification Pipeline for Craniosynostosis Using Statistical Shape ModelingMatthias Schaufelberger, Reinald Kühle, Andreas Wachter, et al.
IEEE Transactions on Bio-Medical Engineering|May 19, 2023
3D-2D Distance Maps Conversion Enhances Classification of CraniosynostosisMatthias Schaufelberger, Christian Kaiser, Reinald Kuhle, et al.
IEEE Transactions on Bio-Medical Engineering|December 14, 2021
Reducing Line-of-Block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation MethodsSteffen Schuler, Matthias Schaufelberger, Laura R Bear, et al.
Pageof 1