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

Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg and Jan Egger The HoloLens in medicine: A systematic review and taxonomy Publikation in PURE anzeigen
Maria Gonçalves, Christina Gsaxner, André Ferreira, Jianning Li, Behrus Puladi, Jens Kleesiek, Jan Egger and Victor Alves Radiomics in Head and Neck Cancer Outcome Predictions Publikation in PURE anzeigen
Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li and Jens Kleesiek Medical deep learning—A systematic meta-review Publikation in PURE anzeigen
Lukas Radl, Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao and Jan Egger AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks Publikation in PURE anzeigen
Jianning Li, David G Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek and Jan Egger Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model Publikation in PURE anzeigen
Luana Petrelli, Antonio Pepe, Antonella Disanto, Christina Gsaxner, Jianning Li, Yuan Jin, Domenico Buongiorno, Antonio Brunetti, Vitoantonio Bevilacqua and Jan Egger Geometric modeling of aortic dissections through convolution surfaces Medical Imaging 2022 Publikation in PURE anzeigen
Paul Ganster, Maximilian Weber, Daniel Wild, Christina Gsaxner, Natalie Schellnegger and Jan Egger Bringing any Medical 3D Scan onto Augmented Reality Hardware - A Streamlined Data Pipeline Medical Imaging 2022 Publikation in PURE anzeigen
Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger and Vitoantonio Bevilacqua Enhancement of aortic dissections in CT Angiography Medical Imaging 2022 Publikation in PURE anzeigen
Christina Schwarz-Gsaxner, Antonio Pepe, Jianning Li, Una Ibrahimpasic, Jürgen Wallner, Dieter Schmalstieg and Jan Egger Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach Publikation in PURE anzeigen
Jianning Li, Christina Schwarz-Gsaxner, Antonio Pepe, Ana Morais, Victor Alves, Gord von Campe, Jürgen Wallner and Jan Egger Synthetic Skull Bone Defects for automatic Patient-specific Craniofacial Implant Design Publikation in PURE anzeigen
Jianning Li, Antonio Pepe, Christina Schwarz-Gsaxner and Jan Egger An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design Medical Imaging 2021 Publikation in PURE anzeigen
Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li and Roman Kern Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact Publikation in PURE anzeigen
Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin and Jan Egger Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation Towards the Automatization of Cranial Implant Design in Cranioplasty II 45-62 Publikation in PURE anzeigen
Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg and Jan Egger Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality VRST '21 Publikation in PURE anzeigen
Jianning Li, Gord von Campe, Antonio Pepe, Christina Gsaxner, Enpeng Wang, Xiaojun Chen, Ulrike Zefferer, Martin Tödtling, Marcell Krall, Hannes Deutschmann, Ute Schäfer, Dieter Schmalstieg and Jan Egger Automatic skull defect restoration and cranial implant generation for cranioplasty Publikation in PURE anzeigen
Jianning Li, Marcell Krall, Florian Trummer, Afaque Rafique Memon, Antonio Pepe, Christina Gsaxner, Yuan Jin, Xiaojun Chen, Hannes Deutschmann, Ulrike Zefferer, Ute Schäfer, Gord von Campe and Jan Egger MUG500+ Publikation in PURE anzeigen
Christina Dionysio, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li, Luis Alvarez and Jan Egger A cloud-based centerline algorithm for Studierfenster Medical Imaging 2021 Publikation in PURE anzeigen
Michael Schmied, Antonio Pepe, Jianning Li, Yuan Jin, Christina Gsaxner and Jan Egger A patch-based-Approach for aortic landmarking Medical Imaging 2021 Publikation in PURE anzeigen
Christopher A. Ramirez Bedoya, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li and Jan Egger A web client-based online DICOM browser and NRRD converter for Studierfenster Medical Imaging 2021 Publikation in PURE anzeigen
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner and Jan Egger Deep learning and particle filter-based aortic dissection vessel tree segmentation Medical Imaging 2021 Publikation in PURE anzeigen
Oldřich Kodym, Jianning Li, Antonio Pepe, Christina Gsaxner, Sasank Chilamkurthy, Jan Egger and Michal Španěl SkullBreak / SkullFix – Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks Publikation in PURE anzeigen
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 Medical Imaging 2020 Publikation in PURE anzeigen
Antonio Pepe, Richard Schussnig, Jianning Li, Christina Schwarz-Gsaxner, Xiaojun Chen, Thomas Peter Fries and Jan Egger IRIS: interactive real-time feedback image segmentation with deep learning SPIE Medical Imaging Publikation in PURE anzeigen
Antonio Pepe, Gabriel Mistelbauer, Christina Schwarz-Gsaxner, Jianning Li, D. Fleischmann, Dieter Schmalstieg and Jan Egger Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Proceedings 130-140 Publikation in PURE anzeigen
Jan Egger, Antonio Pepe, Christina Schwarz-Gsaxner and Jianning Li Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact Publikation in PURE anzeigen
Jianning Li, Antonio Pepe, Christina Schwarz-Gsaxner, Gord von Campe and Jan Egger A baseline approach for autoimplant: the MICCAI 2020 cranial implant design challenge Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures 75-84 Publikation in PURE anzeigen
Florian Karner, Christina Schwarz-Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck, Clemens Arth, Jürgen Wallner and Jan Egger Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures 64-74 Publikation in PURE anzeigen
Jan Egger, Christina Schwarz-Gsaxner, Antonio Pepe and Jianning Li Medical Deep Learning - A systematic Meta-Review Publikation in PURE anzeigen
Jan Egger, Jianning Li, Xiaojun Chen, Ute Schäfer, Gord von Campe, Marcell Krall, Ulrike Zefferer, Christina Schwarz-Gsaxner, Antonio Pepe and Dieter Schmalstieg Towards the Automatization of Cranial Implant Design in Cranioplasty: Structured description of the challenge design Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Christina Gsaxner, Peter M. Roth, Jürgen Wallner and Jan Egger Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Christina Gsaxner, Jürgen Wallner, Xiaojun Chen, Wolfgang Zemann and Jan Egger Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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) Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Christina Gsaxner Automatic urinary bladder segmentation in CT images using deep learning Publikation in PURE anzeigen
Contact
image/svg+xml

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

christina.gsaxner@icg.tugraz.at