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2020 – today
- 2023
[j18]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)- [e3]Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13823, Springer 2023, ISBN 978-3-031-25045-3 [contents] - 2022
- [j17]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) - [j16]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) - [c52]Harsh Sulakhe, Jianning Li, Jan Egger, Poonam Goyal:
CranGAN: Adversarial Point Cloud Reconstruction for patient-specific Cranial Implant Design. EMBC 2022: 603-608 - [c51]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: 3-11 - [c50]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: 70-92 - [i62]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 abs/2202.10244 (2022) - [i61]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 abs/2203.11132 (2022) - [i60]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) - [i59]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 abs/2205.09706 (2022) - [i58]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 abs/2207.01390 (2022) - [i57]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) - [i56]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 abs/2209.14783 (2022) - [i55]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 abs/2210.11822 (2022) - [i54]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 abs/2210.14228 (2022) - [i53]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 abs/2211.14051 (2022) - [i52]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 abs/2212.08568 (2022) - 2021
- [j15]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) - [j14]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) - [j13]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) - [j12]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) - [c49]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 - [c48]Artem Kroviakov, Jianning Li, Jan Egger:
Sparse Convolutional Neural Network for Skull Reconstruction. AutoImplant@MICCAI 2021: 80-94 - [c47]Lei Yu, Jianning Li, Jan Egger:
PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis. AutoImplant@MICCAI 2021: 105-115 - [c46]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 - [e2]Jianning Li, Jan Egger:
Towards the Automatization of Cranial Implant Design in Cranioplasty II - Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13123, Springer 2021, ISBN 978-3-030-92651-9 [contents] - [i51]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) - [i50]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) - [i49]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) - [i48]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 abs/2112.00661 (2021) - 2020
- [j11]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) - [c45]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 - [c44]Jianning Li, Jan Egger:
Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge. AutoImplant@MICCAI 2020: 10-15 - [c43]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 - [c42]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 - [c41]Yuan Jin, Jianning Li, Jan Egger:
High-Resolution Cranial Implant Prediction via Patch-Wise Training. AutoImplant@MICCAI 2020: 94-103 - [c40]Matthias Eder, Jianning Li, Jan Egger:
Learning Volumetric Shape Super-Resolution for Cranial Implant Design. AutoImplant@MICCAI 2020: 104-113 - [c39]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 - [c38]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 - [e1]Jianning Li, Jan Egger:
Towards the Automatization of Cranial Implant Design in Cranioplasty - First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12439, Springer 2020, ISBN 978-3-030-64326-3 [contents] - [i47]Alexander Prutsch, Antonio Pepe, Jan Egger:
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images. CoRR abs/2005.02760 (2020) - [i46]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) - [i45]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) - [i44]Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li:
Medical Deep Learning - A systematic Meta-Review. CoRR abs/2010.14881 (2020) - [i43]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
- [j10]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) - [j9]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) - [c37]Maximilian Weber, Daniel Wild, Jürgen Wallner, Jan Egger:
A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores. EMBC 2019: 3463-3467 - [c36]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 - [c35]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 - [c34]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 - [c33]Ana Morais, Jan Egger, Victor Alves:
Automated Computer-aided Design of Cranial Implants Using a Deep Volumetric Convolutional Denoising Autoencoder. WorldCIST (3) 2019: 151-160 - [i42]Jürgen Wallner, Irene Mischak, Jan Egger:
Computed tomography data collection of the complete human mandible and valid clinical ground truth models. CoRR abs/1902.05255 (2019) - [i41]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) - [i40]Daniel Wild, Maximilian Weber, Jan Egger:
Client/Server Based Online Environment for Manual Segmentation of Medical Images. CoRR abs/1904.08610 (2019) - 2018
- [c32]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 - [c31]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 - [c30]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 - [i39]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 abs/1803.04279 (2018) - [i38]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 abs/1805.08604 (2018) - 2017
- [c29]Jan Egger, Markus Gall, Jürgen Wallner, Knut Reinbacher, Katja Schwenzer-Zimmerer, Dieter Schmalstieg:
Interaktive Planung von Gesichtsimplantaten. Bildverarbeitung für die Medizin 2017: 134-139 - [c28]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: 101370C - [c27]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: 101352M - [i37]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 abs/1703.03199 (2017) - [i36]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 abs/1703.03202 (2017) - [i35]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 abs/1703.07575 (2017) - [i34]Jan Egger, Dieter Schmalstieg, Xiaojun Chen, Wolfram G. Zoller, Alexander Hann:
Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images. CoRR abs/1704.05368 (2017) - [i33]Xiaojun Chen, Lu Xu, Xing Li, Jan Egger:
Computer-aided implant design for the restoration of cranial defects. CoRR abs/1706.07649 (2017) - [i32]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 abs/1708.05711 (2017) - [i31]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 abs/1710.02984 (2017) - [i30]Jan Egger, Christopher Nimsky, Xiaojun Chen:
Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application. CoRR abs/1711.04592 (2017) - 2016
- [c26]Markus Gall, Xing Li, Xiaojun Chen, Dieter Schmalstieg, Jan Egger:
Computer-aided planning and reconstruction of cranial 3D implants. EMBC 2016: 1179-1183 - [c25]Tobias Lüddemann, Jan Egger:
Interactive and scale invariant segmentation of the rectum/sigmoid via user-defined templates. Medical Imaging: Image Processing 2016: 978436 - [c24]Jan Egger, Christopher Nimsky:
Cellular automata segmentation of the boundary between the compacta of vertebral bodies and surrounding structures. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 97871G - [i29]Xiaojun Chen, Lu Xu, Yue Yang, Jan Egger:
A semi-automatic computer-aided method for surgical template design. CoRR abs/1602.01644 (2016) - [i28]Dzenan Zukic, Jan Egger, Miriam H. A. Bauer, Daniela Kuhnt, Barbara Carl, Bernd Freisleben, Andreas Kolb, Christopher Nimsky:
Preoperative Volume Determination for Pituitary Adenoma. CoRR abs/1602.02022 (2016) - [i27]Jan Egger, Stefan Großkopf, Bernd Freisleben:
Simulation of bifurcated stent grafts to treat abdominal aortic aneurysms (AAA). CoRR abs/1602.02490 (2016) - [i26]Jing Lu, Jan Egger, Andreas Wimmer, Stefan Großkopf, Bernd Freisleben:
Detection and Visualization of Endoleaks in CT Data for Monitoring of Thoracic and Abdominal Aortic Aneurysm Stents. CoRR abs/1602.02881 (2016) - [i25]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 abs/1603.00546 (2016) - [i24]Jan Egger, Christopher Nimsky:
Cellular Automata Segmentation of the Boundary between the Compacta of Vertebral Bodies and Surrounding Structures. CoRR abs/1603.00960 (2016) - [i23]Tobias Lüddemann, Jan Egger:
Interactive and Scale Invariant Segmentation of the Rectum/Sigmoid via User-Defined Templates. CoRR abs/1603.00961 (2016) - 2015
- [j8]Xiaojun Chen, Lu Xu, Yiping Wang, Huixiang Wang, Fang Wang, Xiangsen Zeng, Qiugen Wang, Jan Egger:
Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display. J. Biomed. Informatics 55: 124-131 (2015) - [c23]Tobias Lüddemann, Jan Egger:
Interaktive und skalierungsinvariante Segmentierung des Rektums/Sigmoid in intraoperativen MRT-Aufnahmen für die gynäkologische Brachytherapie. Bildverarbeitung für die Medizin 2015: 29-34 - [c22]Jan Egger, Harald Busse, Michael Moche, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Nikita Garnov, Jochen Fuchs, Peter Voigt, Florian Dazinger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Alexander Hann, Bernd Freisleben, Thomas Kahn, Dieter Schmalstieg:
Semi-automatische Segmentierung von Schädigungszonen in post-interventionellen CT-Daten. Bildverarbeitung für die Medizin 2015: 281-286 - [c21]Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Xiaojun Chen, Alexander Hann, Pedro Boechat, Wei Yu, Bernd Freisleben, Tuomas Alhonnoro, Mika Pollari, Michael Moche, Dieter Schmalstieg:
RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts. EMBC 2015: 2423-2429 - [c20]Bernhard Kainz, Christina Malamateniou, Giulio Ferrazzi, Maria Murgasova, Jan Egger, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
Adaptive scan strategies for fetal MRI imaging using slice to volume techniques. ISBI 2015: 849-852 - [i22]Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Alexander Hann, Xiaojun Chen, Tuomas Alhonnoro, Mika Pollari, Dieter Schmalstieg, Michael Moche:
Interactive Volumetry Of Liver Ablation Zones. CoRR abs/1512.04582 (2015) - 2014
- [j7]Dzenan Zukic, Ales Vlasák, Jan Egger, Daniel Horínek, Christopher Nimsky, Andreas Kolb:
Robust Detection and Segmentation for Diagnosis of Vertebral Diseases Using Routine MR Images. Comput. Graph. Forum 33(6): 190-204 (2014) - [j6]Jan Egger, Tobias Lüddemann, Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky:
Interactive-cut: Real-time feedback segmentation for translational research. Comput. Medical Imaging Graph. 38(4): 285-295 (2014) - [c19]Jan Egger:
Semi-automatische Echtzeit-Konturierung. Bildverarbeitung für die Medizin 2014: 366-371 - [i21]Robert Schwarzenberg, Bernd Freisleben, Christopher Nimsky, Jan Egger:
Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences. CoRR abs/1404.4467 (2014) - [i20]Xiaojun Chen, Jan Egger:
Development of an open source software module for enhanced visualization during MR-guided interstitial gynecologic brachytherapy. CoRR abs/1404.6116 (2014) - [i19]Jan Egger:
Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science. CoRR abs/1406.1906 (2014) - 2013
- [j5]Jan Egger, Dzenan Zukic, Bernd Freisleben, Andreas Kolb, Christopher Nimsky:
Segmentation of pituitary adenoma: A graph-based method vs. a balloon inflation method. Comput. Methods Programs Biomed. 110(3): 268-278 (2013) - [c18]Robert Schwarzenberg, Bernd Freisleben, Ron Kikinis, Christopher Nimsky, Jan Egger:
Ein kubusbasierter Ansatz zur Segmentierung von Wirbeln in MRT-Aufnahmen. Bildverarbeitung für die Medizin 2013: 69-74 - [i18]Tina Kapur, Jan Egger, Antonio Damato, Ehud J. Schmidt, Akila N. Viswanathan:
3T MR-Guided Brachytherapy for Gynecologic Malignancies. CoRR abs/1302.5666 (2013) - [i17]Jan Egger, Tina Kapur, Andriy Fedorov, Steve Pieper, James V. Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J. Golby, Christopher Nimsky, Ron Kikinis:
GBM Volumetry using the 3D Slicer Medical Image Computing Platform. CoRR abs/1303.0964 (2013) - [i16]Jan Egger, Junichi Tokuda, Laurent Chauvin, Bernd Freisleben, Christopher Nimsky, Tina Kapur, William M. Wells III:
Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab. CoRR abs/1309.1863 (2013) - [i15]Jan Egger:
Image-guided therapy system for interstitial gynecologic brachytherapy in a multimodality operating suite. CoRR abs/1309.5574 (2013) - [i14]Jan Egger:
PCG-Cut: Graph Driven Segmentation of the Prostate Central Gland. CoRR abs/1310.3366 (2013) - [i13]Jan Egger, Miriam H. A. Bauer, Stefan Großkopf, Christina Biermann, Bernd Freisleben, Christopher Nimsky:
Determination, Calculation and Representation of the Upper and Lower Sealing Zones During Virtual Stenting of Aneurysms. CoRR abs/1310.5755 (2013) - [i12]Miriam H. A. Bauer, Sebastiano Barbieri, Jan Klein, Jan Egger, Daniela Kuhnt, Bernd Freisleben, Horst K. Hahn, Christopher Nimsky:
A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging. CoRR abs/1310.6092 (2013) - 2012
- [j4]Jan Egger, Stefan Grosskopf, Christopher Nimsky, Tina Kapur, Bernd Freisleben:
Modeling and visualization techniques for virtual stenting of aneurysms and stenoses. Comput. Medical Imaging Graph. 36(3): 183-203 (2012) - [j3]Jan Egger, Christoph Kappus, Bernd Freisleben, Christopher Nimsky:
A Medical Software System for Volumetric Analysis of Cerebral Pathologies in Magnetic Resonance Imaging (MRI) Data. J. Medical Syst. 36(4): 2097-2109 (2012) - [j2]Jan Egger, Rivka R. Colen, Bernd Freisleben, Christopher Nimsky:
Manual Refinement System for Graph-Based Segmentation Results in the Medical Domain. J. Medical Syst. 36(5): 2829-2839 (2012) - [c17]Jan Egger, Thomas Dukatz, Bernd Freisleben, Christopher Nimsky:
Ein semiautomatischer Ansatz zur Flächenbestimmung von Wirbeln in MRT-Aufnahmen. Bildverarbeitung für die Medizin 2012: 274-279 - [c16]