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Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery.

C. Gsaxner, A. Pepe, J. Wallner, D. Schmalstieg, and J. Egger. MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 236-244. Springer, (2019)

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Jürgen Wallner

Stefan Wallner

Thomas Wallner

Engelbert Wallner

Other publications of authors with the same name

A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation.A. Pepe, G. Trotta, P. Mohr-Ziak, C. Gsaxner, J. Wallner, V. Bevilacqua, and J. Egger. J. Digital Imaging, 32 (6): 1008-1018 (2019)Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures.M. Labini, C. Gsaxner, A. Pepe, J. Wallner, J. Egger, and V. Bevilacqua. ICIC (3), volume 11645 of Lecture Notes in Computer Science, page 716-726. Springer, (2019)A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery.J. Wallner, M. Schwaiger, K. Hochegger, C. Gsaxner, W. Zemann, and J. Egger. Comput. Methods Programs Biomed., (2019)Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality.F. Karner, C. Gsaxner, A. Pepe, J. Li, P. Fleck, C. Arth, J. Wallner, and J. Egger. ML-CDS/CLIP@MICCAI, volume 12445 of Lecture Notes in Computer Science, page 64-74. Springer, (2020)Algorithmic evaluation of lower jawbone segmentations.J. Egger, K. Hochegger, M. Gall, X. Chen, K. Reinbacher, K. Schwenzer-Zimmerer, D. Schmalstieg, and J. Wallner. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137 of SPIE Proceedings, page 101370C. SPIE, (2017)A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores.M. Weber, D. Wild, J. Wallner, and J. Egger. EMBC, page 3463-3467. IEEE, (2019)Lower jawbone data generation for deep learning tools under MeVisLab.B. Pfarrkirchner, C. Gsaxner, L. Lindner, N. Jakse, J. Wallner, D. Schmalstieg, and J. Egger. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105782O. SPIE, (2018)Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans.C. Gsaxner, B. Pfarrkirchner, L. Lindner, N. Jakse, J. Wallner, D. Schmalstieg, and J. Egger. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105781Z. SPIE, (2018)Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data.C. Gsaxner, P. Roth, J. Wallner, and J. Egger. CoRR, (2019)Computed tomography data collection of the complete human mandible and valid clinical ground truth models.J. Wallner, I. Mischak, and J. Egger. CoRR, (2019)

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Disambiguation of "Wallner, Jürgen"

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Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery.

Please choose a person to relate this publication to

Jürgen Wallner

Jürgen Wallner

Stefan Wallner

Thomas Wallner

Engelbert Wallner

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wallner, Jürgen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery.

Please choose a person to relate this publication to

Jürgen Wallner

Jürgen Wallner

Stefan Wallner

Thomas Wallner

Engelbert Wallner

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery.