94.	02/24		F. Hörst, S. H. Schaheer, G. Baldini, F. H. Bahnsen, J. Egger, J. Kleesiek
			“Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline”
			In: BVM 2024, Springer, pp. 356–361, 2024. (Link)
93.	02/24		M. Lindo, A. Ferreira, J. Egger, V. Alves
			“Generation of Synthetic X-Rays Images of Rib Fractures Using a 2D Enhanced Alpha-GAN for Data Augmentation”
			In: WorldCIST 2023, Springer, pp. 288-297, 2024. (Link)
92.	02/24		G. M. Melito, A. Pepe, A. Jafarinia, T. Krispel, J. Egger
			“Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis”
			In: MICCAI SEG.A Challenge Proceedings, Springer, pp. 110-126, 2024. (Link)
91.	01/24		L. Heine, F. Hörst, E. Nasca, J. Siveke, J. Egger, M. S. Kim, F. H. Bahnsen, J. Kleesiek
			“Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting”
			In: 57th HICSS 2024: Waikiki Beach, HI, USA, 2024. (Link)
90.	12/23		A. Dada, A. Chen, C. Peng, K. E. Smith, A. Idrissi-Yaghir, C. M. Seibold, J. Li, L. Heiliger, C. M. Friedrich, D. Truhn, J. Egger, J. Bian, J. Kleesiek, Y. Wu
			“On the Impact of Cross-Domain Data on German Language Models”
			Findings of the Association for Computational Linguistics: EMNLP, pp. 13801-13813, 2023. (Link)
89.	10/23		J. Li, A. Pepe, G. Luijten, C. Schwarz-Gsaxner, J. Kleesiek, J. Egger
			“Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction”
			In: Wachinger, C., Paniagua, B., Elhabian, S., Li, J., Egger, J. (eds) Shape in Medical Imaging. ShapeMI 2023. Lecture Notes in Computer Science, vol 14350. Springer, Cham., pp. 1-14, 2023. (Link)
88.	07/23		L. Adilova, A. Abourayya, J. Li, A. Dada, H. Petzka, J. Egger, J. Kleesiek, M. Kamp
			“FAM: Relative Flatness Aware Minimization”
			Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), PMLR 221:37-49, 2023. (Link)
87.	06/23		M. Eisenmann, et al.
			“Why is the winner the best?”
			The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), pp. 19955-19966, June 2023. (Link) (IEEE)
86.	05/20		A. Masur, J. Egger
			“GrowCut under StudierFenster“
			In: The 27th Central European Seminar on Computer Graphics (CESCG), pp. 1-2, May 2023. (Link) (Video)
85.	02/23		T. Huebner, A. Berger, D. Wild, J. Li, A. Pepe, C. Gsaxner, Y. Jin, G. Luijten, J. Kleesiek, J. Egger
			“A web-based radiomics module for image feature extraction for tumor characterization”
			SPIE Medical Imaging, San Diego, USA, Feb. 2023.
84.	02/23		B. Scharinger, A. Pepe, Y. Jin, C. Gsaxner, J. Li, J. Egger
			“Multicenter aortic vessel tree extraction using deep learning”
			SPIE Medical Imaging, San Diego, USA, Feb. 2023.
83.	02/23		J. Li, J. Fragemann, S.-A. Ahmad, J. Kleesiek, J. Egger
			“Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder“
			In: MICCAI MAD, Springer, pp. 70-92, Feb. 2023.
82.	02/23		J. Fragemann, J. Li, X. Liu, S. A. Tsaftaris, J. Egger, J. Kleesiek
			“Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop“
			In: MICCAI MAD, Springer, pp. 03-11, Feb. 2023.
81.	07/22		H. Sulakhe, J. Li, J. Egger, P. Goyal
			“CranGAN: Adversarial Point Cloud Reconstruction for patient-specific Cranial Implant Design”
			IEEE EMBC, Glasgow, Scotland, Jul. 2022.
80.	02/22		P. Ganster, M. Weber, D. Wild, C. Gsaxner, N. Schellnegger, J. Egger
			“Bringing any medical 3D scan onto augmented reality hardware: a streamlined data pipeline”
			SPIE Medical Imaging, San Diego, USA, Feb. 2022.
79.	02/22		L. Petrelli, A. Pepe, A. Disanto, C. Gsaxner, J. Li, Y. Jin, D. Buongiorno, A. Brunetti, V. Bevilacqua, J. Egger
			“Geometric modeling of aortic dissections through convolution surfaces”
			SPIE Medical Imaging, San Diego, USA, Feb. 2022.
78.	02/22		A. Disanto, A. Pepe, L. Petrelli, C. Gsaxner, J. Li, Y. Jin, A. Brunetti, D. Buongiorno, J. Egger, V. Bevilacqua
			“Enhancement of aortic dissections in CT angiography: are common filters robust enough?”
			SPIE Medical Imaging, San Diego, USA, Feb. 2022.
77.	12/21		C. Gsaxner, J. Li, A. Pepe, D. Schmalstieg, J. Egger
			“Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality”
			ACM Symposium on Virtual Reality Software and Technology (VRST), Osaka University, Osaka, Japan, Dec. 2021. (Link) (Paper) (Video) (Code)
76.	12/21		L. Yu, J. Li, J. Egger
			“PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis“
			In: MICCAI AICIDC II, Springer, pp. 105-115, 12 2021.
75.	12/21		A. Kroviakov, J. Li, J. Egger
			“Sparse Convolutional Neural Network for Skull Reconstruction“
			In: MICCAI AICIDC II, Springer, pp. 80-94, 12 2021.
74.	12/21		J. Li, A. Pepe, C. Gsaxner, Y. Jin, J. Egger
			“Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation“
			In: MICCAI AICIDC II, Springer, pp. 45-62, 12 2021.
73.	02/21		C. Dionysio, D. Wild, A. Pepe, C. Gsaxner, J. Li, L. Alvarez, J. Egger
			“A cloud-based centerline algorithm for Studierfenster“
			In: SPIE Medical Imaging 2021, 6 pages, Feb. 2021.
72.	02/21		J. Li, A. Pepe, C. Gsaxner, J. Egger
			“An online platform for automatic skull defect restoration and cranial implant design“
			In: SPIE Medical Imaging 2021, 8 pages, Feb. 2021.
71.	02/21		C.A. Ramirez Bedoyaa, D. Wild, A. Pepe, C. Gsaxner, J. Li, J. Egger
			“A web client-based online DICOM browser and NRRD converter for Studierfenster“
			In: SPIE Medical Imaging 2021, 6 pages, Feb. 2021.
70.	02/21		Y. Jin, A. Pepe, J. Li, C. Gsaxner, J. Egger
			“Deep learning and particle filter-based aortic dissection vessel tree segmentation“
			In: SPIE Medical Imaging 2021, 6 pages, Feb. 2021.
69.	02/21		M. Schmied, A. Pepe, J. Li, Y. Jin, C. Gsaxner, J. Egger
			“A patch-based-approach for aortic landmarking“
			In: SPIE Medical Imaging 2021, 6 pages, Feb. 2021.
68.	12/20		M. Eder, J. Li, J. Egger
			“Learning Volumetric Shape Super-Resolution for Cranial Implant Design“
			In: MICCAI AICIDC, Springer, pp. 104-113, Dec. 2020.
67.	12/20		Y. Jin, J. Li, J. Egger
			“High-Resolution Cranial Implant Prediction via Patch-Wise Training“
			In: MICCAI AICIDC, Springer, pp. 94-103, Dec. 2020.
66.	12/20		J. Li, J. Egger
			“Dataset Descriptor for the AutoImplant CranialImplant Design Challenge“
			In: MICCAI AICIDC, Springer, pp. 10-15, Dec. 2020.
65.	10/20		A. Pepe, G. Mistelbauer, C. Gsaxner, J. Li, D. Fleischmann, D. Schmalstieg, J. Egger
			“Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting“
			In: MICCAI TIA, 11 pages, Oct. 2020.
64.	10/20		F. Karner, C. Gsaxner, A. Pepe, J. Li, P. Fleck, C. Arth, J. Wallner, J. Egger
			“Single-shot Deep Volumetric Regression for Mobile Medical Augmented Reality“
			In: MICCAI CLIP (Best Paper Award), 11 pages, Oct. 2020.
63.	10/20		J. Li, A. Pepe, C. Gsaxner, G. von Campe, J. Egger
			“A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge“
			In: MICCAI CLIP, 10 pages, Oct. 2020.
62.	05/20		A. Prutsch, A. Pepe, J. Egger
			“Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images“
			In: The 24th Central European Seminar on Computer Graphics (CESCG), pp. 1-8, May 2020.
61.	02/20		A. Pepe, R. Schussnig, J. Li, C. Gsaxner, X. Chen, T.-P. Fries, J. Egger
			“IRIS: Interactive Real-Time Feedback Image Segmentation with deep learning“
			In: Proc. SPIE 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 113170R, 2020.
60.	02/20		J. Egger, S. Gunacker, A. Pepe, G. M. Melito, C. Gsaxner, J. Li, K. Ellermann, X. Chen
			“A comprehensive workflow and framework for immersive Virtual Endoscopy of dissected aortae from CTA data“
			In: Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 1131531, pp. 2020.
59.	10/19		C. Gsaxner, A. Pepe, J. Wallner, D. Schmalstieg, J. Egger
			“Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery“
			In: MICCAI, Oct. 2019. (pdf)
58.	08/19		M. Sylos Labini, C. Gsaxner, A. Pepe, J. Wallner, J. Egger, V. Bevilacqua
			“Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures“
			In: International Conference on Intelligent Computing (ICIC), Intelligent Computing Methodologies, pp. 716-726, Nanchang, China, Aug. 2019.
57.	07/19		L. Lindner, D. Narnhofer, M. Weber, C. Gsaxner, M. Kolodziej, J. Egger
			“Using Synthetic Training Data for Deep Learning-Based GBM Segmentation“
			In: IEEE EMBC, Jul. 2019.
56.	07/19		M. Weber, D. Wild, J. Wallner, J. Egger
			“A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores“
			In: IEEE EMBC, Jul. 2019.
55.	04/19		D. Wild, M. Weber, J. Egger
			“A Client/Server based Online Environment for Manual Segmentation of Medical Images“
			In: The 23rd Central European Seminar on Computer Graphics (CESCG), pp. 1-8, Apr. 2019.
54.	03/19		R. Morais, J. Egger, V. Alves
			“Automated Computer-aided Design of Cranial Implants using a Deep Volumetric Convolutional Denoising Autoencoder“
			In: WorldCist'19, pp. 151-160, Mar. 2019.
53.	11/18		A. Pepe, G. F. Trotta, J. Wallner, C. Gsaxner, D. Schmalstieg, J. Egger, V. Bevilacqua
			“Pattern Recognition and Mixed Reality for Computer- Aided Maxillofacial Surgery and Oncological Assessment“
			In: IEEE Biomedical Engineering International Conference (BMEiCON2018), Chiang Mai, Thailand, Nov. 2018. (Best Paper Award)
52.	11/18		C. Gsaxner, B. Pfarrkirchner, L. Lindner, A. Pepe, P. M. Roth, J. Wallner, J. Egger
			“PET-Train: Automatic Ground Truth Generation from PET Acquisitions for Urinary Bladder Segmentation in CT Images using Deep Learning“
			In: IEEE Biomedical Engineering International Conference (BMEiCON2018), Chiang Mai, Thailand, Nov. 2018.
51.	07/18		J. Egger, B. Pfarrkirchner, C. Gsaxner, L. Lindner, D. Schmalstieg, J. Wallner
			“Fully Convolutional Mandible Segmentation on a valid Ground-Truth Dataset“
			In: IEEE Engineering in Medicine and Biology Conference (EMBC), 5 pages, Honolulu, Hawaii, Jul. 2018.
50.	02/18		L. Lindner, B. Pfarrkirchner, C. Gsaxner, D. Schmalstieg, J. Egger
			“TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches“
			In: Proceedings of SPIE Medical Imaging Conference, Paper 10579-63, Houston, TX, USA, Feb. 2018.
49.	02/18		S. Gunacker, M. Gall, D. Schmalstieg, J. Egger
			“Multi-threaded integration of HTC-Vive and MeVisLab“
			In: Proceedings of SPIE Medical Imaging Conference, Paper 10579-51, Houston, TX, USA, Feb. 2018.
48.	02/18		B. Pfarrkirchner, C. Gsaxner, L. Lindner, N. Jakse, J. Wallner, D. Schmalstieg, J. Egger
			“Lower jawbone data generation for deep learning tools under MeVisLab“
			In: Proceedings of SPIE Medical Imaging Conference, Paper 10578-96, Houston, TX, USA, Feb. 2018. (pdf)
47.	02/18		C. Gsaxner, B. Pfarrkirchner, L. Lindner, N. Jakse, J. Wallner, D. Schmalstieg, J. Egger
			“Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans“
			In: Proceedings of SPIE Medical Imaging Conference, Paper 10578-70, Houston, TX, USA, Feb. 2018.
46.	08/17		J. Egger, X. Chen, L. Bettac, M. Hänle, T. Gräter, W. Zoller, D. Schmalstieg, A. 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“
			In: IEEE Biomedical Engineering International Conference (BMEiCON2017), Hokkaido, Japan, Aug. 2017.
45.	03/17		J. Egger, M. Gall, J. Wallner, K. Reinbacher, K. Schwenzer-Zimmerer, D. Schmalstieg
			“Interaktive Planung von Gesichtsimplantaten“
			In: Bildverarbeitung für die Medizin (BVM), Springer, pp. 134-139, Mar. 2017.
44.	02/17		J. Egger, M. Gall, J. Wallner, P. Boechat, A. Hann, X. Li, X. Chen, D. Schmalstieg
			“Integration of the HTC Vive into the Medical Platform MeVisLab“
			In: Proceedings of SPIE Medical Imaging Conference, Paper 10138-41, Orlando, FL, USA, Feb. 2017.
43.	02/17		M. Gall, K. Reinbacher, J. Wallner, J. Stanzel, X. Chen, K. Schwenzer-Zimmerer, D. Schmalstieg, J. Egger
			“Interactive Planning of Miniplates“
			In: Proceedings of SPIE Medical Imaging Conference, Paper 10135-93, Orlando, FL, USA, Feb. 2017.
42.	02/17		J. Egger, K. Hochegger, M. Gall, X. Chen, K. Reinbacher, K. Schwenzer-Zimmerer, D. Schmalstieg, J. Wallner
			“Algorithmic evaluation of lower jawbone segmentations“
			In: Proceedings of SPIE Medical Imaging Conference, Paper 10137-11, Orlando, FL, USA, Feb. 2017.
41.	08/16		M. Gall, X. Li, X. Chen, D. Schmalstieg, J. Egger
			“Computer-Aided Planning and Reconstruction of Cranial 3D Implants“
			In: IEEE EMBC, Orlando, Florida, August 2016.
40.	03/16		T. Lüddemann, J. Egger
			“Interactive and scale invariant segmentation of the rectum/sigmoid via user-defined templates“
			In: Proceedings of SPIE Medical Imaging Conference 9784, Image Processing, 978436, San Diego, USA, Mar. 2016. (pdf)
39.	03/16		J. Egger, C. Nimsky
			“Cellular automata segmentation of the boundary between the compacta of vertebral bodies and surrounding structures“
			In: Proceedings of SPIE Medical Imaging Conference, Paper 9787-52, San Diego, USA, Mar. 2016. (pdf)
38.	02/16		J. Egger, P. Voglreiter, M. Dokter, M. Hofmann, X. Chen, W. G. Zoller, D. Schmalstieg, A. Hann
			“US-Cut: interactive algorithm for rapid detection and segmentation of liver tumors in ultrasound acquisitions“
			In: Proceedings of SPIE Medical Imaging Conference, Paper 9790-47, San Diego, USA, Feb. 2016. (pdf)
37.	08/15		J. Egger, H. Busse, P. Brandmaier, D. Seider, M. Gawlitza, S. Strocka, P. Voglreiter, M. Dokter, M. Hofmann, B. Kainz, X. Chen, A. Hann, P. Boechat, W. Yu, B. Freisleben, T. Alhonnoro, M. Pollari, M. Moche, D. Schmalstieg
			“RFA-Cut: Semi-automatic Segmentation of Radiofrequency Ablation Zones with and without Needles via Optimal s-t-Cuts“
			In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, IEEE Press, pp. 2423-2429, Aug. 2015.
36.	04/15		B. Kainz, C. Malamateniou, G. Ferrazzi, M. Murgasova, J. Egger, K. Keraudren, M. Rutherford, J. V. Hajnal, D. Rueckert
			“Adaptive Scan Strategies for fetal MRI Imaging using Slice to Volume Techniques“
			In: Proceedings of The IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, IEEE Press, Brooklyn, NY, United States, April 2015.
35.	03/15		J. Egger, H. Busse, M. Moche, P. Brandmaier, D. Seider, M. Gawlitza, S. Strocka, N. Garnov, J. Fuchs, P. Voigt, F. Dazinger, P. Voglreiter, M. Dokter, M. Hofmann, A. Hann, B. Freisleben, T. Kahn, D. Schmalstieg
			“Semi-automatische Segmentierung von Schädigungszonen in post-interventionellen CT-Daten“
			In: Proceedings of Bildverarbeitung für die Medizin (BVM), Springer Press, Lübeck, Germany, pp. 281-286, March 2015. (pdf)
34.	03/15		T. Lüddemann, J. Egger
			“Interaktive und skalierungsinvariante Segmentierung des Rektums/Sigmoid in intraoperativen MRT-Aufnahmen für die gynäkologische Brachytherapie“
			In: Proceedings of Bildverarbeitung für die Medizin (BVM), Springer Press, Lübeck, Germany, March 2015. (pdf)
33.	03/14		J. Egger
			“Semi-automatische Echtzeit-Konturierung mit einem vorlagenbasierten und skalierungsinvarianten Ansatz“
			In: Proceedings of Bildverarbeitung für die Medizin (BVM), Springer Press, pp. 366-371, Aachen, Germany, March 2014. (pdf)
32.	03/13		R. Schwarzenberg, B. Freisleben, R. Kikinis, C. Nimsky, J. Egger
			“[A Cube-Based Approach to Segment Vertebrae in MRI-Acquisitions]“
			In: Proceedings of Bildverarbeitung für die Medizin (BVM) – Algorithmen - Systeme - Anwendungen, Springer Verlag, pp. 69-74, Heidelberg, Germany, Mar. 2013.
31.	11/12		D. Zukic, A. Vlasak, T. Dukatz, J. Egger, D. Horinek, C. Nimsky, A. Kolb
			“Segmentation of Vertebral Bodies in MR Images“
			In: Vision, Modeling, and Visualization (VMV), The Eurographics Association, pp. 135-142, Nov. 2012.
30.	03/12		J. Egger, T. Dukatz, B. Freisleben, Ch. Nimsky
			“Ein semiautomatischer Ansatz zur Flächenbestimmung von Wirbeln in MRT-Aufnahmen“
			In: Proceedings of Bildverarbeitung für die Medizin (BVM) – Algorithmen - Systeme - Anwendungen, Springer Verlag, Berlin, Germany, Mar. 2012, accepted.
29.	03/11		J. Egger, C. Kappus, B. Freisleben, Ch. Nimsky
			“Ein effizienter geometrischer Ansatz zur Unterstützung der Trajektoriebestimmung bei der Tiefenhirnstimulation“
			In: Proceedings of Bildverarbeitung für die Medizin (BVM) – Algorithmen - Systeme - Anwendungen, Springer Verlag, Lübeck, Germany, Mar. 2011.
28.	02/11		Dz. Zukic, J. Egger, M.H.A. Bauer, D. Kuhnt, B. Carl, B. Freisleben, A. Kolb, Ch. Nimsky
			“Preoperative Volume Determination for Pituitary Adenoma“
			In: Proceedings of SPIE Medical Imaging Conference, Orlando, Florida, USA, Feb. 2011. (pdf)
27.	11/10		M.H.A. Bauer, S. Barbieri, J. Egger, D. Kuhnt, J. Klein, H.K. Hahn, B. Freisleben, Ch. Nimsky
			“Segmentierung von Faserbahnsystemen mit einem strahlenbasierten Ansatz und Glättung der FA- und Winkel-Karten“
			In: Proceedings of 9. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), MEDICA, Düsseldorf, Germany, Nov. 2010. (pdf)
26.	11/10		J. Egger, Dz. Zukic, M.H.A. Bauer, D. Kuhnt, B. Carl, B. Freisleben, A. Kolb, Ch. Nimsky
			“A Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data“
			In: Proceedings of 6th Russian-Bavarian Conference on Bio-Medical Engineering, State Technical University, Moscow, Russia, Nov. 2010.
25.	11/10		Dz. Zukic, J. Egger, M.H.A. Bauer, D. Kuhnt, B. Carl, B. Freisleben, A. Kolb, Ch. Nimsky
			“Glioblastoma Multiforme Segmentation in MRI Data with a Balloon Inflation Approach“
			In: Proceedings of 6th Russian-Bavarian Conference on Bio-Medical Engineering, State Technical University, Moscow, Russia, Nov. 2010.
24.	10/10		J. Egger, S.K. Zhou, S. Grosskopf, D. Liu, C. Hopfgartner, D. Bernhardt, C. Biermann, Ch. Nimsky, B. Freisleben
			“Body Landmark Detection for a Fully Automatic AAA Stent Graft Planning Software System“
			In: 23rd IEEE International Symposium on Computer-Based Medical Systems, IEEE Press, ACM, Perth, Australia, Oct. 2010.
23.	10/10		J. Egger, M. H. A. Bauer, D. Kuhnt, C. Kappus, B. Carl, B. Freisleben, Ch. Nimsky
			“Evaluation of a Novel Approach for Automatic Volume Determination of Glioblastomas Based on Several Manual Expert Segmentations“
			In: Proceedings of 44. Jahrestagung der DGBMT, Rostock, Germany, Oct. 2010.
22.	10/10		M. H. A. Bauer, J. Egger, D. Kuhnt, S. Barbieri, J. Klein, H. K. Hahn, B. Freisleben, Ch. Nimsky
			“A Semi-Automatic Graph-Based Approach for Determining the Boundary of Eloquent Fiber Bundles in the Human Brain“
			In: Proceedings of 44. Jahrestagung der DGBMT, Rostock, Germany, Oct. 2010.
21.	09/10		J. Egger, M. H. A. Bauer, D. Kuhnt, B. Carl, C. Kappus, B. Freisleben, Ch. Nimsky
			“Nugget-Cut: A Segmentation Scheme for Spherically- and Elliptically-Shaped 3D Objects“
			In: 32nd Annual Symposium of the German Association for Pattern Recognition (DAGM), LNCS 6376, pp. 383–392, Springer Press, Darmstadt, Germany, Sep. 2010.
20.	08/10		M. H. A. Bauer, J. Egger, T. O’Donnell, B. Freisleben, S. Barbieri, J. Klein, H. K. Hahn, Ch. Nimsky
			“A Fast and Robust Graph-based Approach for Boundary Estimation of Fiber Bundles Relying on Fractional Anisotropy Maps“
			In: 20th International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, IEEE Computer Society, Aug. 2010.
19.	07/10		J. Egger, M. H. A. Bauer, D. Kuhnt, B. Freisleben, Ch. Nimsky
			“Pituitary Adenoma Segmentation“
			In: Proceedings of International Biosignal Processing Conference, Charité, Berlin, Germany, Jul. 2010.
18.	07/10		J. Egger, M. H. A. Bauer, D. Kuhnt, C. Kappus, B. Carl, B. Freisleben, Ch. Nimsky
			“A Flexible Semi-Automatic Approach for Glioblastoma multiforme Segmentation“
			In: Proceedings of International Biosignal Processing Conference, Charité, Berlin, Germany, Jul. 2010.
17.	07/10		M. H. A. Bauer, J. Egger, D. Kuhnt, S. Barbieri, J. Klein, H. K. Hahn, B. Freisleben, Ch. Nimsky
			“Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation“
			In: Proceedings of International Biosignal Processing Conference, Charité, Berlin, Germany, Jul. 2010.
16.	10/09		J. Egger, C. Biermann, S. Großkopf, C. Hopfgartner, D. Fritz, B. Freisleben
			“Vollautomatische Stent-Planung und Stent-Simulation zur Unterstützung der minimal-invasiven Behandlung von abdominalen Bauchaortenaneurysmen“
			In: 39. Jahrestagung der Gesellschaft für Informatik, Lübeck, Lecture Notes in Informatics (LNI), pp. 1317-1327, Oct. 2009.
15.	09/09		J. Egger, B. Freisleben, R. Setser, R. Renapuraar, C. Biermann, T. O’Donnell
			“Aorta Segmentation for Stent Simulation“
			In: 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Cardiovascular Interventional Imaging and Biophysical Modelling Workshop, 10 pages, London, UK, Sep. 2009.
14.	08/09		J. Egger, S. Großkopf, T. O’Donnell, B. Freisleben
			“A Software System for Stent Planning, Stent Simulation and Follow-Up Examinations in the Vascular Domain“
			In: 22nd IEEE International Symposium on Computer-Based Medical Systems, Albuquerque, New Mexico, USA, IEEE Press, ACM/SIGAPP, pp. 1-7, Aug. 2009.
13.	11/08		J. Egger, T. O’Donnell, C. Hopfgartner, B. Freisleben
			“Graph-Based Tracking Method for Aortic Thrombus Segmentation“
			In: Proceedings of 4th European Congress for Medical and Biomedical Engineering, Engineering for Health, Antwerp, Belgium, Springer, pp. 584-587, Nov. 2008.
12.	11/08		J. Egger, S. Großkopf, B. Freisleben
			“Virtual Stenting for Carotid Stenosis with Elastic Artery Wall Modeling“
			In: Proceedings of 4th European Congress for Medical and Biomedical Engineering, Engineering for Health, Antwerp, Belgium, Springer, pp. 2499-2502, Nov. 2008.
11.	04/08		K. Greiner, J. Egger, S. Großkopf, J. N. Kaftan, R. Dörner, B. Freisleben
			“Segmentierung von Aortenaneurysmen in CTA-Bildern mit dem statistischen Verfahren der Active Appearance Models“
			In: Proceedings of Bildverarbeitung für die Medizin (BVM), Berlin, Germany, Springer-Verlag, pp. 51-55, Apr. 2008.
10.	02/08		J. Lu, J. Egger, A, Wimmer, S. Großkopf, B. Freisleben
			“Detection and Visualization of Endoleaks in CT Data for Monitoring of Thoracic and Abdominal Aortic Aneurysm Stents“
			In: Proceedings of SPIE Medical Imaging Conference, Vol. 6918, pp. 69181F(1-7), San Diego, USA, Feb. 2008. (pdf)
9.	10/07		J. Lu, J. Egger, A. Wimmer, S. Großkopf, B. Freisleben
			“Segmentierung und Visualisierung von Lumen und Thrombus bei thorakalen Aortenaneurysmen“
			In: Proceedings of 6. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), Karlsruhe, Germany, pp. 251-254, Oct. 2007. (pdf)
8.	08/07		J. Egger, Z. Mostarkic, F. Maier, J. N. Kaftan, S. Großkopf, B. Freisleben
			“Fast Self-Collision Detection and Simulation of Bifurcated Stents to Treat Abdominal Aortic Aneurysms (AAA)“
			In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, pp. 6231-6234, IEEE Press, Aug. 2007.
7.	06/07		J. Egger, Z. Mostarkic, S. Großkopf, B. Freisleben
			“A Fast Vessel Centerline Extraction Algorithm for Catheter Simulation“
			In: 20th IEEE International Symposium on Computer-Based Medical Systems, Maribor, Slovenia, pp. 177-182, IEEE Press, Jun. 2007.
6.	04/07		J. Egger, Z. Mostarkic, S. Großkopf, B. Freisleben
			“Preoperative Measurement of Aneurysms and Stenosis and Stent-Simulation for Endovascular Treatment“
			In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Washington (D.C.), USA, pp. 392-395, IEEE Press, Apr. 2007.
5.	03/07		J. Egger, S. Großkopf, B. Freisleben
			“Präoperative Simulation von Rohrprothesen und Y-Stents zur endovaskulären Behandlung von Stenosen und Aneurysmen“
			In: Proceedings of Bildverarbeitung für die Medizin (BVM), Munich, Germany, pp. 182-186, Springer-Verlag, Mar. 2007.
4.	02/07		J. Egger, S. Großkopf, B. Freisleben
			“Simulation of bifurcated stent grafts to treat abdominal aortic aneurysms (AAA)“
			In: Proceedings of SPIE Medical Imaging Conference, Vol. 6509, pp. 65091N(1-6), San Diego, USA, Feb. 2007. (pdf)
3.	10/06		J. Egger, S. Großkopf, B. Freisleben
			“Comparison of two methods for the preoperative visualization of stent grafts in CT-data“
			In: Proceedings of 5. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), Hanover, Germany, pp. 140-141, Oct. 2006.
2.	03/06		D. Richter, J. Egger, G. Straßmann
			“Ein Algorithmus zur Positionsbestimmung von Patienten und Biopsienadeln mit einem Vierkamerasystem“
			In: Proceedings of Bildverarbeitung für die Medizin (BVM), Hamburg, Germany, pp. 316-320, Springer-Verlag, Mar. 2006.
1.	06/04		D. Richter, F. La Torre, J. Egger, G. Straßmann
			“Tetraoptical Camera System for Medical Navigation“
			In: Proceedings of the 17th International EURASIP Conference BIOSIGNAL, Brno, Czech Republic, pp. 270-272, Vutium Press, Jun. 2004. (pdf)