Jan Egger

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 112

Top Venues

CoRR

EMBC

AutoImplant@MICCAI

Bildverarbeitung für die Medizin

University of Marburg (PHD)

Education History

University of Marburg

PHD

Publications

Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. Comput. Methods Programs Biomed. 243 (2024)
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. CoRR (2024)
Lukas Heine, Fabian Hörst, Enrico Nasca, Jens Siveke, Jan Egger, Moon S. Kim, Fin Hendrik Bahnsen, Jens Kleesiek
Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting. HICSS (2024)
Ana Carolina Alves, André Ferreira, Gijs Luijten, Jens Kleesiek, Behrus Puladi, Jan Egger, Victor Alves
Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review. CoRR (2024)
Fabian Hörst, Sajad H. Schaheer, Giulia Baldini, Fin Hendrik Bahnsen, Jan Egger, Jens Kleesiek
Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline. Bildverarbeitung für die Medizin (2024)
Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas
Classification of lung cancer subtypes on CT images with synthetic pathological priors. CoRR (2023)
Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology. Comput. Medical Imaging Graph. 107 (2023)
Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek
"A net for everyone": fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. BMC Medical Imaging 23 (1) (2023)
Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen
Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine. CoRR (2023)
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 (2023)
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
FAM: Relative Flatness Aware Minimization. CoRR (2023)
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 (2023)
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
Open-source skull reconstruction with MONAI. SoftwareX 23 (2023)
Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
Why is the Winner the Best? CVPR (2023)
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) (2023)
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
On the Impact of Cross-Domain Data on German Language Models. CoRR (2023)
Gian Marco Melito, Antonio Pepe, Alireza Jafarinia, Thomas Krispel, Jan Egger
Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis. SEG.A@MICCAI (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
Why is the winner the best? CoRR (2023)
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
FAM: Relative Flatness Aware Minimization. TAG-ML (2023)
Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek
CellViT: Vision Transformers for Precise Cell Segmentation and Classification. CoRR (2023)
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)
Zdravko Marinov, Paul F. Jäger, Jan Egger, Jens Kleesiek, Rainer Stiefelhagen
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. CoRR (2023)
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 (2023)
Harsh Sulakhe, Jianning Li, Jan Egger, Poonam Goyal
CranGAN: Adversarial Point Cloud Reconstruction for patient-specific Cranial Implant Design. EMBC (2022)
Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI (2022)
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 (2022)
Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger
The HoloLens in Medicine: A systematic Review and Taxonomy. CoRR (2022)
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) (2022)
Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek
Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare. CoRR (2022)
Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek
'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. CoRR (2022)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
Biomedical image analysis competitions: The state of current participation practice. CoRR (2022)
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. CoRR (2022)
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. MAD@MICCAI (2022)
Sascha Ranftl, Malte Rolf-Pissarczyk, Gloria Wolkerstorfer, Antonio Pepe, Jan Egger, Wolfgang von der Linden, Gerhard A. Holzapfel
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate. CoRR (2022)
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. CoRR (2022)
Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology. CoRR (2022)
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 (2022)
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
Open-Source Skull Reconstruction with MONAI. CoRR (2022)
André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger
GAN-based generation of realistic 3D data: A systematic review and taxonomy. CoRR (2022)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
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)
Lei Yu, Jianning Li, Jan Egger
PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis. AutoImplant@MICCAI (2021)
Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation. CoRR (2021)
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 (2021)
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)
Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. CoRR (2021)
Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg, Jan Egger
Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. VRST (2021)
Artem Kroviakov, Jianning Li, Jan Egger
Sparse Convolutional Neural Network for Skull Reconstruction. AutoImplant@MICCAI (2021)
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) (2021)
Yuan Jin, Jianning Li, Jan Egger
High-Resolution Cranial Implant Prediction via Patch-Wise Training. AutoImplant@MICCAI (2020)
Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger
A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge. CoRR (2020)
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 (2020)
Alexander Prutsch, Antonio Pepe, Jan Egger
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images. CoRR (2020)
Matthias Eder, Jianning Li, Jan Egger
Learning Volumetric Shape Super-Resolution for Cranial Implant Design. AutoImplant@MICCAI (2020)
Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design. CoRR (2020)
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)
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)
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)
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)
Jianning Li, Jan Egger
Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge. AutoImplant@MICCAI (2020)
Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li
Medical Deep Learning - A systematic Meta-Review. CoRR (2020)
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 (2020)
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)
Ana Morais, Jan Egger, Victor Alves
Automated Computer-aided Design of Cranial Implants Using a Deep Volumetric Convolutional Denoising Autoencoder. WorldCIST (3) (2019)
Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Malgorzata Kolodziej, Jan Egger
Using Synthetic Training Data for Deep Learning-Based GBM Segmentation. EMBC (2019)
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)
Daniel Wild, Maximilian Weber, Jan Egger
Client/Server Based Online Environment for Manual Segmentation of Medical Images. CoRR (2019)
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) (2019)
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 (2019)
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)
Maximilian Weber, Daniel Wild, Jürgen Wallner, Jan Egger
A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores. EMBC (2019)
Jürgen Wallner, Irene Mischak, Jan Egger
Computed tomography data collection of the complete human mandible and valid clinical ground truth models. CoRR (2019)
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)
Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen, Irene Mischak, Knut Reinbacher, Mauro Pau, Tomislav Zrnc, Katja Schwenzer-Zimmerer, Wolfgang Zemann, Dieter Schmalstieg, Jan Egger
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. CoRR (2018)
Jan Egger, Xiaojun Chen, Lucas Bettac, Mark Martin Hänle, Tilmann Gräter, Wolfram G. Zoller, Dieter Schmalstieg, Alexander Hann
In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine. CoRR (2018)
Jan Egger, Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Dieter Schmalstieg, Jürgen Wallner
Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset. EMBC (2018)
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)
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)
Jan Egger, Kerstin Hochegger, Markus Gall, Xiaojun Chen, Knut Reinbacher, Katja Schwenzer-Zimmerer, Dieter Schmalstieg, Jürgen Wallner
Algorithmic evaluation of lower jawbone segmentations. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Xiaojun Chen, Xing Li, Lu Xu, Yi Sun, Constantinus Politis, Jan Egger
Development of a computer-aided design software for dental splint in orthognathic surgery. CoRR (2017)
Jan Egger, Markus Gall, Alois Tax, Muammer Üçal, Ulrike Zefferer, Xing Li, Gord von Campe, Ute Schäfer, Dieter Schmalstieg, Xiaojun Chen
Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software. CoRR (2017)
Jan Egger, Markus Gall, Jürgen Wallner, Pedro Boechat, Alexander Hann, Xing Li, Xiaojun Chen, Dieter Schmalstieg
HTC Vive MeVisLab integration via OpenVR for medical applications. CoRR (2017)
Jan Egger, Dieter Schmalstieg, Xiaojun Chen, Wolfram G. Zoller, Alexander Hann
Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images. CoRR (2017)
Jan Egger, Markus Gall, Jürgen Wallner, Knut Reinbacher, Katja Schwenzer-Zimmerer, Dieter Schmalstieg
Interaktive Planung von Gesichtsimplantaten. Bildverarbeitung für die Medizin (2017)
Alexander Hann, Lucas Bettac, Mark Martin Haenle, Tilmann Graeter, Andreas W. Berger, Jens Dreyhaupt, Dieter Schmalstieg, Wolfram G. Zoller, Jan Egger
Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound. CoRR (2017)
Xiaojun Chen, Lu Xu, Xing Li, Jan Egger
Computer-aided implant design for the restoration of cranial defects. CoRR (2017)
Markus Gall, Knut Reinbacher, Jürgen Wallner, Jan Stanzel, Xiaojun Chen, Katja Schwenzer-Zimmerer, Dieter Schmalstieg, Jan Egger
Interactive planning of miniplates. Medical Imaging: Image-Guided Procedures (2017)
Jan Egger, Christopher Nimsky, Xiaojun Chen
Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application. CoRR (2017)
Jan Egger, Jürgen Wallner, Markus Gall, Xiaojun Chen, Katja Schwenzer-Zimmerer, Knut Reinbacher, Dieter Schmalstieg
Computer-aided position planning of miniplates to treat facial bone defects. CoRR (2017)
Jan Egger, Stefan Großkopf, Bernd Freisleben
Simulation of bifurcated stent grafts to treat abdominal aortic aneurysms (AAA). CoRR (2016)
Markus Gall, Xing Li, Xiaojun Chen, Dieter Schmalstieg, Jan Egger
Computer-aided planning and reconstruction of cranial 3D implants. EMBC (2016)
Jan Egger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Xiaojun Chen, Wolfram G. Zoller, Dieter Schmalstieg, Alexander Hann
US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions. CoRR (2016)
Tobias Lüddemann, Jan Egger
Interactive and scale invariant segmentation of the rectum/sigmoid via user-defined templates. Medical Imaging: Image Processing (2016)

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Jan Egger