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Christina Gsaxner

Showing results (1-10 of 33) with videos related to

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JMIR XR and Spatial Computing|December 4, 2025
What is Diminished Virtuality? A Directional and Layer-Based Taxonomy for the Reality-Virtuality ContinuumJan Egger, Christina Gsaxner, Jens Kleesiek, et al.
Plos One|March 6, 2019
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT dataChristina Gsaxner, Peter M Roth, Jürgen Wallner, et al.
Scientific Data|December 11, 2019
Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgeryChristina Gsaxner, Jürgen Wallner, Xiaojun Chen, et al.
Resuscitation Plus|April 8, 2024
Rethinking realities: A call for accurate terminology in eXtended Reality studiesNino Fijačko, Gregor Štiglic, Christina Gsaxner, et al.
Computer Methods and Programs in Biomedicine|October 15, 2019
A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgeryJürgen Wallner, Michael Schwaiger, Kerstin Hochegger, et al.
Peerj. Computer Science|December 13, 2021
Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impactJan Egger, Antonio Pepe, Christina Gsaxner, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Fully Convolutional Mandible Segmentation on a valid Ground- Truth DatasetJan Egger, Birgit Pfarrkirchner, Christina Gsaxner, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
MultiAR: A Multi-User Augmented Reality Platform for Biomedical EducationMarkus Perz, Gijs Luijten, Jens Kleesiek, et al.
Scientific Reports|November 20, 2023
Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolutionJianning Li, Christina Gsaxner, Antonio Pepe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Using Synthetic Training Data for Deep Learning-Based GBM SegmentationLydia Lindner, Dominik Narnhofer, Maximilian Weber, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
JMIR XR and Spatial Computing|December 4, 2025
What is Diminished Virtuality? A Directional and Layer-Based Taxonomy for the Reality-Virtuality ContinuumJan Egger, Christina Gsaxner, Jens Kleesiek, et al.
Plos One|March 6, 2019
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT dataChristina Gsaxner, Peter M Roth, Jürgen Wallner, et al.
Scientific Data|December 11, 2019
Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgeryChristina Gsaxner, Jürgen Wallner, Xiaojun Chen, et al.
Resuscitation Plus|April 8, 2024
Rethinking realities: A call for accurate terminology in eXtended Reality studiesNino Fijačko, Gregor Štiglic, Christina Gsaxner, et al.
Computer Methods and Programs in Biomedicine|October 15, 2019
A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgeryJürgen Wallner, Michael Schwaiger, Kerstin Hochegger, et al.
Peerj. Computer Science|December 13, 2021
Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impactJan Egger, Antonio Pepe, Christina Gsaxner, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Fully Convolutional Mandible Segmentation on a valid Ground- Truth DatasetJan Egger, Birgit Pfarrkirchner, Christina Gsaxner, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
MultiAR: A Multi-User Augmented Reality Platform for Biomedical EducationMarkus Perz, Gijs Luijten, Jens Kleesiek, et al.
Scientific Reports|November 20, 2023
Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolutionJianning Li, Christina Gsaxner, Antonio Pepe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Using Synthetic Training Data for Deep Learning-Based GBM SegmentationLydia Lindner, Dominik Narnhofer, Maximilian Weber, et al.
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