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Jürgen Wallner
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2020 – today
- 2021
- [j3]Christina Gsaxner
, Antonio Pepe, Jianning Li, Una Ibrahimpasic
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach. Comput. Methods Programs Biomed. 200: 105854 (2021) - 2020
- [c10]Florian Karner, Christina Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck
Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality. ML-CDS/CLIP@MICCAI 2020: 64-74
2010 – 2019
- 2019
- [j2]Jürgen Wallner, Michael Schwaiger, Kerstin Hochegger, Christina Gsaxner, Wolfgang Zemann, Jan Egger:
A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery. Comput. Methods Programs Biomed. 182 (2019) - [j1]Antonio Pepe, Gianpaolo Francesco Trotta, Peter Mohr-Ziak, Christina Gsaxner, Jürgen Wallner, Vitoantonio Bevilacqua, Jan Egger:
A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation. J. Digit. Imaging 32(6): 1008-1018 (2019) - [c9]Maximilian Weber, Daniel Wild, Jürgen Wallner, Jan Egger:
A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores. EMBC 2019: 3463-3467 - [c8]Mauro Sylos Labini, Christina Gsaxner
Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. ICIC (3) 2019: 716-726 - [c7]Christina Gsaxner
Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery. MICCAI (5) 2019: 236-244 - [i5]Jürgen Wallner, Irene Mischak, Jan Egger:
Computed tomography data collection of the complete human mandible and valid clinical ground truth models. CoRR abs/1902.05255 (2019) - [i4]Christina Gsaxner, Peter M. Roth, Jürgen Wallner, Jan Egger:
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data. CoRR abs/1903.02871 (2019) - 2018
- [c6]Jan Egger, Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Dieter Schmalstieg, Jürgen Wallner:
Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset. EMBC 2018: 656-660 - [c5]Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781Z - [c4]Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Lower jawbone data generation for deep learning tools under MeVisLab. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105782O - [i3]Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen, Irene Mischak, Knut Reinbacher, Mauro Pau, Tomislav Zrnc, Katja Schwenzer-Zimmerer, Wolfgang Zemann, Dieter Schmalstieg, Jan Egger:
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. CoRR abs/1805.08604 (2018) - 2017
- [c3]Jan Egger, Markus Gall, Jürgen Wallner, Knut Reinbacher, Katja Schwenzer-Zimmerer, Dieter Schmalstieg:
Interaktive Planung von Gesichtsimplantaten. Bildverarbeitung für die Medizin 2017: 134-139 - [c2]Jan Egger, Kerstin Hochegger, Markus Gall, Xiaojun Chen
Algorithmic evaluation of lower jawbone segmentations. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101370C - [c1]Markus Gall, Knut Reinbacher, Jürgen Wallner, Jan Stanzel, Xiaojun Chen
Interactive planning of miniplates. Image-Guided Procedures 2017: 101352M - [i2]Jan Egger, Markus Gall, Jürgen Wallner, Pedro Boechat, Alexander Hann, Xing Li, Xiaojun Chen, Dieter Schmalstieg:
HTC Vive MeVisLab integration via OpenVR for medical applications. CoRR abs/1703.07575 (2017) - [i1]Jan Egger, Jürgen Wallner, Markus Gall, Xiaojun Chen, Katja Schwenzer-Zimmerer, Knut Reinbacher, Dieter Schmalstieg:
Computer-aided position planning of miniplates to treat facial bone defects. CoRR abs/1708.05711 (2017)
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