Dipl.-Ing. Christina Gsaxner, BSc

News:

Looking for a challenge? Join the new Miccai 2020 Cranial Implant Design Challenge organized by our group. The training data set is now available!

https://autoimplant.grand-challenge.org/

Christina Gsaxner is currently working as a project assistant at the Institute of Computer Graphics and Vision at the TU Graz and in the Division of Oral- and Maxillofacial Surgery at the Medical University of Graz. She obtained her Master's degree in Biomedical Engineering with a focus on medical imaging from TU Graz. At the moment, Christina is working on the enFaced project, a interdisciplinary research project between computer science and medicine, which aims to integrate virtual and augmented reality into the field of head and neck surgery, under the supervision of Prof. Dieter Schmalstieg and Dr. Jan Egger. She is part of the Computer Algorithms for Medicine Laboratory

Christina's research interests lie in Medical Augmented Reality, Computer-assisted Interventions, Registration & Tracking in AR and Medical Image Analysis.

Publications

Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann and Xiaojun Chen A comprehensive Workflow and Framework for immersive Virtual Endoscopy of dissected Aortae from CTA Data Show publication in PURE
Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Xiaojun Chen, Thomas Peter Fries and Jan Egger IRIS: interactive real-time feedback image segmentation with deep learning Show publication in PURE
Christina Gsaxner, Jürgen Wallner, Xiaojun Chen, Wolfgang Zemann and Jan Egger Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery Show publication in PURE
Christina Gsaxner, Antonio Pepe, Dieter Schmalstieg, Jan Egger and Jürgen Wallner Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery International Conference on Medical Image Computing and Computer-Assisted Intervention 236-244 Show publication in PURE
Antonio Pepe, Gianpaolo F Trotta, Peter Mohr-Ziak, Christina Gsaxner, Jürgen Wallner, Vitoantonio Bevilacqua and Jan Egger A Marker-Less Registration Approach for Mixed Reality–Aided Maxillofacial Surgery: a Pilot Evaluation Show publication in PURE
Antonio Pepe, Gianpaolo F Trotta, Christina Gsaxner, Dieter Schmalstieg, Jürgen Wallner, Jan Egger and Vitoantonio Bevilacqua Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological Assessment BMEiCON 2018 - 11th Biomedical Engineering International Conference Show publication in PURE
Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Antonio Pepe, Peter M. Roth, Jürgen Wallner and Jan Egger PET-Train: Automatic Ground Truth Generation from PET Acquisitions for Urinary Bladder Segmentation in CT Images using Deep Learning Show publication in PURE
Christina Gsaxner, Peter M. Roth, Jan Egger and Jürgen Wallner Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data Show publication in PURE
Christina Gsaxner, Peter M. Roth, Jürgen Wallner and Jan Egger Learning from the Truth: Fully Automatic Ground Truth Generation for Training of Medical Deep Learning Networks Proceedings of the Joint ARW & OAGM Workshop 2019 173-174 Show publication in PURE
Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Jan Egger and Malgorzata Kolodziej Using Synthetic Training Data for Deep Learning-Based GBM Segmentation 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 6724-6729 Show publication in PURE
Jürgen Wallner, Michael Schwaiger, Kerstin Maria Hochegger, Christina Gsaxner, Wolfgang Zemann and Jan Egger A Review on Multiplatform Evaluations of Semi-Automatic Open-Source Based Image Segmentation for Cranio-Maxillofacial Surgery Show publication in PURE
Mauro Sylos Labini, Christina Gsaxner, Antonio Pepe, Juergen Wallner, Jan Egger and Vitoantonio Bevilacqua Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings 716-726 Show publication in PURE
Jan Egger, Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Dieter Schmalstieg and Jürgen Wallner Fully Convolutional Mandible Segmentation on a valid Ground-Truth Dataset Proceedings IEEE Engineering in Medicine and Biology Conference (EMBC) Show publication in PURE
Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg and Jan Egger Lower jawbone data generation for deep learning tools under MeVisLab Show publication in PURE
Lydia Lindner, Birgit Pfarrkirchner, Christina Gsaxner, Dieter Schmalstieg and Jan Egger TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches Show publication in PURE
Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg and Jan Egger Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging Show publication in PURE
Christina Gsaxner Automatic urinary bladder segmentation in CT images using deep learning Show publication in PURE
Contact
image/svg+xml

Institute of Computer Graphics and Vision
Inffeldgasse 16/II
8010 Graz

christina.gsaxner@icg.tugraz.at