Christina Gsaxner

52 papers B 1Journal 31Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. ACM Comput. Surv. Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Yuxuan Chen, Behrus Puladi, Fen-hua Zhao, Kelsey L. Pomykala, Jens Kleesiek, Alejandro F. Frangi, Jan Egger
2025	J	`jnl`	Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling. IEEE Trans. Medical Imaging Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Dieter Schmalstieg, Jan Egger
2024	—	`conf`	A Baseline Solution for the ISBI 2024 Dreaming Challenge. ISBI Timo Van Meegdenburg, Gijs Luijten, Jens Kleesiek, Behrus Puladi, André Ferreira, Jan Egger, Christina Gsaxner
2024	J	`jnl`	Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. J. Medical Syst. Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger
2024	—	`conf`	Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery. ISBI Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner
2024	J	`jnl`	Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery. CoRR Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner
2024	J	`jnl`	Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling. CoRR Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Dieter Schmalstieg, Jan Egger
2024	—	`conf`	DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. 3DV Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen
2024	J	`jnl`	Efficient MedSAMs: Segment Anything in Medical Images on Laptop. CoRR Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher J. Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang
2024	—	`conf`	MultiAR: A Multi-User Augmented Reality Platform for Biomedical Education. EMBC Markus Perz, Gijs Luijten, Jens Kleesiek, Dieter Schmalstieg, Jan Egger, Christina Gsaxner
2023	J	`jnl`	Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision. CoRR Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi
2023	J	`jnl`	Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. Comput. Biol. Medicine Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Dieter Schmalstieg, Gabriel Mistelbauer, Dominik Fleischmann
2023	J	`jnl`	DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. CoRR Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen
2023	J	`jnl`	MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR 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.
2023	—	`conf`	Multicenter aortic vessel tree extraction using deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger
2023	J	`jnl`	The HoloLens in medicine: A systematic review and taxonomy. Medical Image Anal. Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger
2023	J	`jnl`	Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 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
2022	J	`jnl`	Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. CoRR Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger
2022	—	`conf`	Enhancement of aortic dissections in CT angiography: are common filters robust enough? Biomedical Applications in Molecular, Structural, and Functional Imaging Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, Vitoantonio Bevilacqua
2022	J	`jnl`	Medical deep learning - A systematic meta-review. Comput. Methods Programs Biomed. Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek
2022	J	`jnl`	Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. J. Digit. Imaging 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
2022	J	`jnl`	The HoloLens in Medicine: A systematic Review and Taxonomy. CoRR Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger
2021	J	`jnl`	AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. CoRR Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger
2021	—	`conf`	An online platform for automatic skull defect restoration and cranial implant design. Image-Guided Procedures Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger
2021	J	`jnl`	Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach. Comput. Methods Programs Biomed. Christina Gsaxner, Antonio Pepe, Jianning Li, Una Ibrahimpasic, Jürgen Wallner, Dieter Schmalstieg, Jan Egger
2021	J	`jnl`	AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 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
2021	J	`jnl`	Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. CoRR Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann
2021	J	`jnl`	Automatic skull defect restoration and cranial implant generation for cranioplasty. Medical Image Anal. 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
2021	J	`jnl`	Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ Comput. Sci. Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern
2021	—	`conf`	Deep learning and particle filter-based aortic dissection vessel tree segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Jan Egger
2021	B	`conf`	Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. VRST Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg, Jan Egger
2021	—	`conf`	Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. AutoImplant@MICCAI Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger
2021	J	`jnl`	Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. CoRR Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger
2020	—	`conf`	A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge. ML-CDS/CLIP@MICCAI Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger
2020	J	`jnl`	A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge. CoRR Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger
2020	—	`conf`	A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data. Image-Guided Procedures Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann, Xiaojun Chen
2020	J	`jnl`	An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design. CoRR Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger
2020	J	`jnl`	Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact. CoRR Jan Egger, Antonio Pepe, Christina Gsaxner, Jianning Li
2020	J	`jnl`	Detection, segmentation, simulation and visualization of aortic dissections: A review. Medical Image Anal. Antonio Pepe, Jianning Li, Malte Rolf-Pissarczyk, Christina Gsaxner, Xiaojun Chen, Gerhard A. Holzapfel, Jan Egger
2020	—	`conf`	IRIS: interactive real-time feedback image segmentation with deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Xiaojun Chen, Thomas-Peter Fries, Jan Egger
2020	J	`jnl`	Medical Deep Learning - A systematic Meta-Review. CoRR Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li
2020	—	`conf`	Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. TIA@MICCAI Antonio Pepe, Gabriel Mistelbauer, Christina Gsaxner, Jianning Li, Dominik Fleischmann, Dieter Schmalstieg, Jan Egger
2020	—	`conf`	Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality. ML-CDS/CLIP@MICCAI Florian Karner, Christina Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck, Clemens Arth, Jürgen Wallner, Jan Egger
2019	J	`jnl`	A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation. J. Digit. Imaging Antonio Pepe, Gianpaolo Francesco Trotta, Peter Mohr-Ziak, Christina Gsaxner, Jürgen Wallner, Vitoantonio Bevilacqua, Jan Egger
2019	J	`jnl`	A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery. Comput. Methods Programs Biomed. Jürgen Wallner, Michael Schwaiger, Kerstin Hochegger, Christina Gsaxner, Wolfgang Zemann, Jan Egger
2019	—	`conf`	Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. ICIC (3) Mauro Sylos Labini, Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Jan Egger, Vitoantonio Bevilacqua
2019	J	`jnl`	Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data. CoRR Christina Gsaxner, Peter M. Roth, Jürgen Wallner, Jan Egger
2019	—	`conf`	Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery. MICCAI (5) Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Dieter Schmalstieg, Jan Egger
2019	—	`conf`	Using Synthetic Training Data for Deep Learning-Based GBM Segmentation. EMBC Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Malgorzata Kolodziej, Jan Egger
2018	—	`conf`	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 Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger
2018	—	`conf`	Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset. EMBC Jan Egger, Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Dieter Schmalstieg, Jürgen Wallner
2018	—	`conf`	Lower jawbone data generation for deep learning tools under MeVisLab. Biomedical Applications in Molecular, Structural, and Functional Imaging Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger