Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset. - Jan Egger; Birgit Pfarrkirchner; Christina Gsaxner; Lydia Lindner; Dieter Schmalstieg; Jürgen Wallner (EMBC, 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 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Using Synthetic Training Data for Deep Learning-Based GBM Segmentation. - Lydia Lindner; Dominik Narnhofer; Maximilian Weber; Christina Gsaxner; Malgorzata Kolodziej; Jan Egger (EMBC, 2019)

Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. - Mauro Sylos Labini; Christina Gsaxner; Antonio Pepe 003; Jürgen Wallner; Jan Egger; Vitoantonio Bevilacqua (ICIC (3), 2019)

Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery. - Christina Gsaxner; Antonio Pepe 003; Jürgen Wallner; Dieter Schmalstieg; Jan Egger (MICCAI (5), 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)

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 Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation. - Antonio Pepe 003; Gianpaolo Francesco Trotta; Peter Mohr-Ziak; Christina Gsaxner; Jürgen Wallner; Vitoantonio Bevilacqua; Jan Egger (J. Digit. Imaging, 2019)

IRIS: interactive real-time feedback image segmentation with deep learning. - Antonio Pepe 003; Richard Schussnig; Jianning Li 002; Christina Gsaxner; Xiaojun Chen 003; Thomas-Peter Fries; Jan Egger (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality. - Florian Karner; Christina Gsaxner; Antonio Pepe 003; Jianning Li 002; Philipp Fleck; Clemens Arth; Jürgen Wallner; Jan Egger (ML-CDS/CLIP@MICCAI, 2020)

A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gord von Campe; Jan Egger (ML-CDS/CLIP@MICCAI, 2020)

Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. - Antonio Pepe 003; Gabriel Mistelbauer; Christina Gsaxner; Jianning Li 002; Dominik Fleischmann; Dieter Schmalstieg; Jan Egger (TIA@MICCAI, 2020)

A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data. - Jan Egger; Simon Gunacker; Antonio Pepe 003; Gian Marco Melito; Christina Gsaxner; Jianning Li 002; Katrin Ellermann; Xiaojun Chen 003 (Image-Guided Procedures, 2020)

Medical Deep Learning - A systematic Meta-Review. - Jan Egger; Christina Gsaxner; Antonio Pepe 003; Jianning Li 002 (CoRR, 2020)

Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact. - Jan Egger; Antonio Pepe 003; Christina Gsaxner; Jianning Li 002 (CoRR, 2020)

Detection, segmentation, simulation and visualization of aortic dissections: A review. - Antonio Pepe 003; Jianning Li 002; Malte Rolf-Pissarczyk; Christina Gsaxner; Xiaojun Chen 003; Gerhard A. Holzapfel; Jan Egger (Medical Image Anal., 2020)

Deep learning and particle filter-based aortic dissection vessel tree segmentation. - Yuan Jin; Antonio Pepe 003; Jianning Li 002; Christina Gsaxner; Jan Egger (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Yuan Jin; Jan Egger (AutoImplant@MICCAI, 2021)

An online platform for automatic skull defect restoration and cranial implant design. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Jan Egger (Image-Guided Procedures, 2021)

Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. - Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Dieter Schmalstieg; Jan Egger (VRST, 2021)

Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach. - Christina Gsaxner; Antonio Pepe 003; Jianning Li 002; Una Ibrahimpasic; Jürgen Wallner; Dieter Schmalstieg; Jan Egger (Comput. Methods Programs Biomed., 2021)

AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. - Yuan Jin; Antonio Pepe 003; Jianning Li 002; Christina Gsaxner; Fen-hua Zhao; Jens Kleesiek; Alejandro F. Frangi; Jan Egger (CoRR, 2021)

Automatic skull defect restoration and cranial implant generation for cranioplasty. - Jianning Li 002; Gord von Campe; Antonio Pepe 003; Christina Gsaxner; Enpeng Wang; Xiaojun Chen 003; Ulrike Zefferer; Martin Tödtling; Marcell Krall; Hannes Deutschmann; Ute Schäfer; Dieter Schmalstieg; et al. (Medical Image Anal., 2021)

Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. - Jan Egger; Antonio Pepe 003; Christina Gsaxner; Yuan Jin; Jianning Li 002; Roman Kern (PeerJ Comput. Sci., 2021)

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. - Jianning Li 002; Pedro Pimentel; Angelika Szengel; Moritz Ehlke; Hans Lamecker; Stefan Zachow; Laura Jovani Estacio Cerquin; Christian Doenitz; Heiko Ramm; Haochen Shi; Xiaojun Chen 003; Franco Matzkin; et al. (IEEE Trans. Medical Imaging, 2021)

Enhancement of aortic dissections in CT angiography: are common filters robust enough? - Antonella Disanto; Antonio Pepe 003; Luana Petrelli; Christina Gsaxner; Jianning Li 002; Yuan Jin; Antonio Brunetti; Domenico Buongiorno; Jan Egger; Vitoantonio Bevilacqua (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Medical deep learning - A systematic meta-review. - Jan Egger; Christina Gsaxner; Antonio Pepe 003; Kelsey L. Pomykala; Frederic Jonske; Manuel Kurz; Jianning Li 002; Jens Kleesiek (Comput. Methods Programs Biomed., 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 002; et al. (J. Digit. Imaging, 2022)

Multicenter aortic vessel tree extraction using deep learning. - Bernhard Scharinger; Antonio Pepe 003; Yuan Jin; Christina Gsaxner; Jianning Li 002; Jan Egger (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. - Jianning Li 002; Antonio Pepe 003; Gijs Luijten; Christina Schwarz-Gsaxner; Jens Kleesiek; Jan Egger (ShapeMI@MICCAI, 2023)

Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision. - Jan Egger; Christina Gsaxner; Xiaojun Chen 003; Jiang Bian 001; Jens Kleesiek; Behrus Puladi (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

The HoloLens in medicine: A systematic review and taxonomy. - Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Yuan Jin; Jens Kleesiek; Dieter Schmalstieg; Jan Egger (Medical Image Anal., 2023)

Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. - Jianning Li 002; 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; et al. (Medical Image Anal., 2023)

3D-COSI 3D Collection of Surgical Instruments. - Gijs Luijten; Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Narmada Ambigapathy; Moon Kim 002; Xiaojun Chen 003; Jens Kleesiek; Frank Hölzle; Behrus Puladi; Jan Egger (Zenodo, 2023)

3D-COSI 3D Collection of Surgical Instruments. - Gijs Luijten; Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Narmada Ambigapathy; Moon Kim 002; Xiaojun Chen 003; Jens Kleesiek; Frank Hölzle; Behrus Puladi; Jan Egger (Zenodo, 2023)

Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. - Antonio Pepe 003; Jan Egger; Marina Codari; Martin J. Willemink; Christina Gsaxner; Jianning Li 002; Peter M. Roth; Dieter Schmalstieg; Gabriel Mistelbauer; Dominik Fleischmann (Comput. Biol. Medicine, 2023)

DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. - Christina Gsaxner; Shohei Mori; Dieter Schmalstieg; Jan Egger; Gerhard Paar; Werner Bailer; Denis Kalkofen (3DV, 2024)

MultiAR: A Multi-User Augmented Reality Platform for Biomedical Education. - Markus Perz; Gijs Luijten; Jens Kleesiek; Dieter Schmalstieg; Jan Egger; Christina Gsaxner (EMBC, 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 (ISBI, 2024)

Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery. - Maximilian Weber; Daniel Wild; Jens Kleesiek; Jan Egger; Christina Gsaxner (ISBI, 2024)

Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling. - Antonio Pepe 003; Richard Schussnig; Jianning Li 002; Christina Gsaxner; Dieter Schmalstieg; Jan Egger (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset. - Christina Gsaxner; Timo Van Meegdenburg; Gijs Luijten; Viet Duc Vu; Behrus Puladi; Jan Egger (Zenodo, 2024)

DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset. - Christina Gsaxner; Timo Van Meegdenburg; Gijs Luijten; Viet Duc Vu; Behrus Puladi; Jan Egger (Zenodo, 2024)

DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset. - Christina Gsaxner; Timo Van Meegdenburg; Gijs Luijten; Viet Duc Vu; Behrus Puladi; Jan Egger (Zenodo, 2024)

Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. - Jianning Li 002; David G. Ellis; Antonio Pepe 003; Christina Gsaxner; Michele R. Aizenberg; Jens Kleesiek; Jan Egger (J. Medical Syst., 2024)

Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. - Yuan Jin; Antonio Pepe 003; Jianning Li 002; Christina Gsaxner; Yuxuan Chen; Behrus Puladi; Fen-hua Zhao; Kelsey L. Pomykala; Jens Kleesiek; Alejandro F. Frangi; Jan Egger (ACM Comput. Surv., 2025)