Christina Schwarz-Gsaxner

According to our database, Christina Schwarz-Gsaxner authored at least 41 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model.

Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger

J. Medical Syst., December, 2024

Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling.

Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Dieter Schmalstieg, Jan Egger

CoRR, 2024

Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery.

Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Baseline Solution for the ISBI 2024 Dreaming Challenge.

Timo Van Meegdenburg, Gijs Luijten, Jens Kleesiek, Behrus Puladi, André Ferreira, Jan Egger, Christina Gsaxner

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality.

Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen

Proceedings of the International Conference on 3D Vision, 2024

2023

Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations.

Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Dieter Schmalstieg, Gabriel Mistelbauer, Dominik Fleischmann

Comput. Biol. Medicine, October, 2023

Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge.

Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger

Medical Image Anal., August, 2023

The HoloLens in medicine: A systematic review and taxonomy.

Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger

Medical Image Anal., April, 2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.

Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.

CoRR, 2023

Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision.

Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi

CoRR, 2023

Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction.

Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger

Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Multicenter aortic vessel tree extraction using deep learning.

Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger

Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

2022

Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform.

Jan Egger, Daniel Wild, Maximilian Weber, Christopher A. Ramirez Bedoya, Florian Karner, Alexander Prutsch, Michael Schmied, Christina Dionysio, Dominik Krobath, Yuan Jin, Christina Gsaxner, Jianning Li, Antonio Pepe

J. Digit. Imaging, 2022

Medical deep learning - A systematic meta-review.

Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek

Comput. Methods Programs Biomed., 2022

Enhancement of aortic dissections in CT angiography: are common filters robust enough?

Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, Vitoantonio Bevilacqua

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.

Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger

IEEE Trans. Medical Imaging, 2021

Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact.

Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern

PeerJ Comput. Sci., 2021

Automatic skull defect restoration and cranial implant generation for cranioplasty.

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, Jan Egger

Medical Image Anal., 2021

AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo.

Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger

CoRR, 2021

Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach.

Christina Gsaxner, Antonio Pepe, Jianning Li, Una Ibrahimpasic, Jürgen Wallner, Dieter Schmalstieg, Jan Egger

Comput. Methods Programs Biomed., 2021

Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality.

Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg, Jan Egger

Proceedings of the VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, Virtual Event / Osaka, Japan, December 8, 2021

An online platform for automatic skull defect restoration and cranial implant design.

Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation.

Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger

Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty II, 2021

Deep learning and particle filter-based aortic dissection vessel tree segmentation.

Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Jan Egger

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020

Detection, segmentation, simulation and visualization of aortic dissections: A review.

Antonio Pepe, Jianning Li, Malte Rolf-Pissarczyk, Christina Gsaxner, Xiaojun Chen, Gerhard A. Holzapfel, Jan Egger

Medical Image Anal., 2020

Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact.

Jan Egger, Antonio Pepe, Christina Gsaxner, Jianning Li

CoRR, 2020

Medical Deep Learning - A systematic Meta-Review.

Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li

CoRR, 2020

A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data.

Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann, Xiaojun Chen

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting.

Antonio Pepe, Gabriel Mistelbauer, Christina Gsaxner, Jianning Li, Dominik Fleischmann, Dieter Schmalstieg, Jan Egger

Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge.

Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger

Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020

Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality.

Florian Karner, Christina Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck, Clemens Arth, Jürgen Wallner, Jan Egger

Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020

IRIS: interactive real-time feedback image segmentation with deep learning.

Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Xiaojun Chen, Thomas-Peter Fries, Jan Egger

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019

A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation.

Antonio Pepe, Gianpaolo Francesco Trotta, Peter Mohr-Ziak, Christina Gsaxner, Jürgen Wallner, Vitoantonio Bevilacqua, Jan Egger

J. Digit. Imaging, 2019

Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data.

Christina Gsaxner, Peter M. Roth, Jürgen Wallner, Jan Egger

CoRR, 2019

A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery.

Jürgen Wallner, Michael Schwaiger, Kerstin Hochegger, Christina Gsaxner, Wolfgang Zemann, Jan Egger

Comput. Methods Programs Biomed., 2019

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

Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Dieter Schmalstieg, Jan Egger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures.

Mauro Sylos Labini, Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Jan Egger, Vitoantonio Bevilacqua

Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

Using Synthetic Training Data for Deep Learning-Based GBM Segmentation.

Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Malgorzata Kolodziej, Jan Egger

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Lower jawbone data generation for deep learning tools under MeVisLab.

Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger

Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans.

Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger

Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset.

Jan Egger, Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Dieter Schmalstieg, Jürgen Wallner

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018