99.	05/24		M. Weber, D. Wild, J. Kleesiek, J. Egger, C. Gsaxner
			“Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery”
			IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (Link)
98.	05/24		T. van Meegdenburg, G. Luijten, J. Kleesiek, B. Puladi, A. Ferreira, J. Egger, C. Gsaxner
			“A Baseline Solution for the ISBI 2024 Dreaming Challenge”
			IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (Link)
97.	05/24		A. Ferreira, G. Luijten, B. Puladi, J. Kleesiek, V. Alves, J. Egger
			“Generalisation of Segmentation Using Generative Adversarial Networks”
			IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024. (Link)
96.	05/24		A. Bader, Y. Li, S. Drobinsky, M. de la Fuente, J. Egger, B. Puladi
			“Comparative Analysis of Augmented Reality Devices for Surgical Applications”
			RG OMFS digital, Aachen, Germany, pp. 1-9, 2024. (Paper)
95.	06/24		C. Gsaxner, S. Mori, D. Schmalstieg, J. Egger, G. Paar, W. Bailer, D. Kalkofen
			“DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality”
			International Conference on 3D Vision (3DV), IEEE, Davos, Switzerland, pp. 751-760, 2024. (Link)
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)