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ORCIDChristina Schwarz-Gsaxner
Christina Gsaxner
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- affiliation: Graz University of Technology, Austria
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2020 – today
- 2024
[j13]Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. J. Medical Syst. 48(1): 55 (2024)- [c21]Christina Gsaxner, Shohei Mori
, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen:
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. 3DV 2024: 750-760 - [c20]Timo Van Meegdenburg, Gijs Luijten, Jens Kleesiek, Behrus Puladi, André Ferreira, Jan Egger, Christina Gsaxner:
A Baseline Solution for the ISBI 2024 Dreaming Challenge. ISBI 2024: 1-3 - [c19]Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner:
Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery. ISBI 2024: 1-5 - [i16]Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Dieter Schmalstieg, Jan Egger:
Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling. CoRR abs/2403.11790 (2024) - [i15]Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner:
Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery. CoRR abs/2405.03314 (2024) - 2023
- [j12]Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Dieter Schmalstieg, Gabriel Mistelbauer, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. Comput. Biol. Medicine 165: 107365 (2023) - [j11]Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger:
The HoloLens in medicine: A systematic review and taxonomy. Medical Image Anal. 85: 102757 (2023) - [j10]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:
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023) - [c18]Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger:
Multicenter aortic vessel tree extraction using deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c17]Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger:
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. ShapeMI@MICCAI 2023: 1-14 - [i14]Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi:
Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision. CoRR abs/2308.04313 (2023) - [i13]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.:
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR abs/2308.16139 (2023) - [i12]Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger:
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. CoRR abs/2309.04956 (2023) - [i11]Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen:
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. CoRR abs/2312.00532 (2023) - 2022
- [j9]Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek:
Medical deep learning - A systematic meta-review. Comput. Methods Programs Biomed. 221: 106874 (2022) - [j8]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:
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. J. Digit. Imaging 35(2): 340-355 (2022) - [c16]Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, Vitoantonio Bevilacqua:
Enhancement of aortic dissections in CT angiography: are common filters robust enough? Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [i10]Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. CoRR abs/2204.05703 (2022) - [i9]Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger:
The HoloLens in Medicine: A systematic Review and Taxonomy. CoRR abs/2209.03245 (2022) - 2021
- [j7]Christina Gsaxner, Antonio Pepe, Jianning Li, Una Ibrahimpasic, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach. Comput. Methods Programs Biomed. 200: 105854 (2021) - [j6]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:
Automatic skull defect restoration and cranial implant generation for cranioplasty. Medical Image Anal. 73: 102171 (2021) - [j5]Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern:
Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ Comput. Sci. 7: e773 (2021) - [j4]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:
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c15]Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Jan Egger:
Deep learning and particle filter-based aortic dissection vessel tree segmentation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c14]Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. AutoImplant@MICCAI 2021: 45-62 - [c13]Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger:
An online platform for automatic skull defect restoration and cranial implant design. Medical Imaging: Image-Guided Procedures 2021 - [c12]Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg, Jan Egger:
Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. VRST 2021: 4:1-4:11 - [i8]Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger:
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. CoRR abs/2108.02998 (2021) - [i7]Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. CoRR abs/2108.05269 (2021) - [i6]Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. CoRR abs/2111.11269 (2021) - 2020
- [j3]Antonio Pepe, Jianning Li, Malte Rolf-Pissarczyk, Christina Gsaxner, Xiaojun Chen, Gerhard A. Holzapfel, Jan Egger:
Detection, segmentation, simulation and visualization of aortic dissections: A review. Medical Image Anal. 65: 101773 (2020) - [c11]Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Xiaojun Chen, Thomas-Peter Fries, Jan Egger:
IRIS: interactive real-time feedback image segmentation with deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170R - [c10]Florian Karner, Christina Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck, Clemens Arth, Jürgen Wallner, Jan Egger:
Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality. ML-CDS/CLIP@MICCAI 2020: 64-74 - [c9]Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger:
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge. ML-CDS/CLIP@MICCAI 2020: 75-84 - [c8]Antonio Pepe, Gabriel Mistelbauer, Christina Gsaxner, Jianning Li, Dominik Fleischmann, Dieter Schmalstieg, Jan Egger:
Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. TIA@MICCAI 2020: 130-140 - [c7]Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann, Xiaojun Chen:
A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data. Medical Imaging: Image-Guided Procedures 2020: 1131531 - [i5]Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger:
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design. CoRR abs/2006.00980 (2020) - [i4]Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger:
A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge. CoRR abs/2006.12449 (2020) - [i3]Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li:
Medical Deep Learning - A systematic Meta-Review. CoRR abs/2010.14881 (2020) - [i2]Jan Egger, Antonio Pepe, Christina Gsaxner, Jianning Li:
Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact. CoRR abs/2011.08184 (2020)
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) - [c6]Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Malgorzata Kolodziej, Jan Egger:
Using Synthetic Training Data for Deep Learning-Based GBM Segmentation. EMBC 2019: 6724-6729 - [c5]Mauro Sylos Labini, Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Jan Egger, Vitoantonio Bevilacqua:
Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. ICIC (3) 2019: 716-726 - [c4]Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery. MICCAI (5) 2019: 236-244 - [i1]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
- [c3]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 - [c2]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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781Z - [c1]Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Lower jawbone data generation for deep learning tools under MeVisLab. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105782O
Coauthor Index
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