Publications by: Jannis Hagenah


2023

Daniel Wulff, Jannis Hagenah and Floris Ernst, Landmark tracking in 4D ultrasound using generalized representation learning (2023), in: Int J CARS, 18(493-500)
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2022

Jannis Hagenah, Michael Scharfschwerdt and Floris Ernst, Aortic Valve Leaflet Shape Synthesis With Geometric Prior From Surrounding Tissue (2022), in: Frontiers in Cardiovascular Medicine, 9(772222)
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Jonas Osburg, Kuhlemann Ivo, Jannis Hagenah and Floris Ernst, Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks (2022), in: Frontiers in Robotics and AI, 9
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2021

Daniel Wulff, Jannis Hagenah and Floris Ernst, Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound, in: Proceedings of Medical Imaging with Deep Learning (MIDL) 2021, 2021
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Daniel Wulff, Mohamad Mehdi, Floris Ernst and Jannis Hagenah, Cross Data Set Generalization of Ultrasound Image Augmentation using Representation Learning: A Case Study, in: Current Directions in Biomedical Engineering, pages 755-758, 2021
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Jannis Hagenah and Floris Ernst, Discrete Pseudohealthy Synthesis: Aortic Root Shape Typification and Type Classification with Pathological Prior, in: Proceedings of Medical Imaging with Deep Learning (MIDL) 2021, PMLR, pages 252--267, 2021
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Felix von Haxthausen, Sven Böttger, Daniel Wulff, Jannis Hagenah, Verónica García-Vázquez and Svenja Ipsen, Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends (2021), in: Current Robotics Reports, 2(55-71)
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2020

Jannis Hagenah, Mohamad Mehdi and Floris Ernst, Fully Data-Driven Pseudohealthy Synthesis for Planning Valve-Sparing Aortic Root Reconstruction using Conditional Variational Autoencoders (2020), in: Current Directions in Biomedical Engineering, 6:3(284 - 287)
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Daniel Wulff, Jannis Hagenah, Svenja Ipsen and Floris Ernst, Learning Local Feature Descriptions in 3D Ultrasound, in: 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), IEEE Computer Society, pages 323-330, 2020
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Yenjung Chen, Nilay Yatinkumar Shah, Subhra Sundar Goswami, Annkristin Lange, Felix von Haxthausen, Malte Maria Sieren, Jannis Hagenah, Floris Ernst and Verónica García-Vázquez, Localization of endovascular tools in X-ray images using a motorized C-arm: visualization on HoloLens, in: Current Directions in Biomedical Engineering, pages 20200029, De Gruyter, 2020
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Felix von Haxthausen, Jannis Hagenah, Mark Kaschwich, Markus Kleemann, Verónica García-Vázquez and Floris Ernst, Robotized ultrasound imaging of the peripheral arteries – a phantom study, in: Current Directions in Biomedical Engineering, pages 20200033, De Gruyter, 2020
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2019

Jannis Hagenah, Kenneth Kühl, Michael Scharfschwerdt and Floris Ernst, Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations (2019), in: Proceedings of Machine Learning Research, 102(236--249)
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Maximilian Wattenberg, Jannis Hagenah, Constantin Schareck, Floris Ernst and Martin A. Koch, Head Movement Detection from Radial k-Space Lines using Convolutional Neural Networks - A Digital Phantom Study (2019), in: Annual Meeting of the International Society of Magnetic Resonance in Medicine
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Jannis Hagenah, Sascha Leymann and Floris Ernst, Integrating Label Uncertainty in Ultrasound Image Classification using Weighted Support Vector Machines (2019), in: Current Directions in Biomedical Engineering, 5:1(285 - 287)
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2018

Jannis Hagenah, Tizian Evers, Michael Scharfschwerdt, Achim Schweikard and Floris Ernst, An SVR-based Data-driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development (2018), in: Computing in Cardiology, 45
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Jannis Hagenah, Mattias Heinrich and Floris Ernst, Deep transfer learning for aortic root dilation identification in 3D ultrasound images (2018), in: Current Directions in Biomedical Engineering, 4:1(71-74)
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Jannis Hagenah, Maximilian Hillemanns, Gereon Hüttmann, Floris Ernst and Achim Schweikard, Image-based analysis of individual movement patterns of C. elegans (2018), in: International Conference on Systems Biology 2018
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Martin A. Koch, Jannis Hagenah, Maximilian Wattenberg and Floris Ernst, Learning motion artefacts in non - Cartesian magnetic resonance imaging (2018), in: Biomedical Technology/Biomedizinische Technik, 63:S1(S280)
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Jannis Hagenah, Michael Scharfschwerdt and Floris Ernst, Towards personalized aortic valve prostheses - A sparse representation of the individual leaflet shape (2018), in: Computing in Cardiology, 45
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2017

Jannis Hagenah, Tizian Evers, Michael Scharfschwerdt and Achim Schweikard, An experimental method for evaluation of aortic leaflet shape models for personalized aortic valve prostheses development (2017), in: 10. Jahrestagung der Deutschen Gesellschaft fuer Biomechanik(114)
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Jannis Hagenah, Michael Scharfschwerdt, Achim Schweikard and Christoph Metzner, Combining Deformation Modeling and Machine Learning for Personalized Prosthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction (2017), in: Lecture Notes in Computer Science, 10263(461-470)
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Jannis Hagenah, Tizian Evers, Michael Scharfschwerdt and Achim Schweikard, Data-driven leaflet modeling for personalized aortic valve prostheses development (2017), in: Biomedical Engineering / Biomedizinische Technik, 62(403-411)
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Jannis Hagenah, Achim Schweikard and Christoph Metzner, Simplified deformation models for personalization of valve-sparing aortic root reconstruction (2017), in: 10. Jahrestagung der Deutschen Gesellschaft fuer Biomechanik(120)
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2016

Jannis Hagenah, Michael Scharfschwerdt, Alexander Schlaefer and Christoph Metzner, A machine learning approach for planning valve-sparing aortic root reconstruction (2016), in: Current Directions in Biomedical Engineering, Vol. 1(p. 361-365)
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Jannis Hagenah, Michael Scharfschwerdt, Achim Schweikard and Christoph Metzner, Prediction of individual aortic root prosthesis size: Deformation modeling as an alternative to direct estimation (2016), in: Dreiländertagung BMT 2016
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Jannis Hagenah, Erik Werrmann, Michael Scharfschwerdt, Floris Ernst and Christoph Metzner, Prediction of Individual Prosthesis Size for Valve-Sparing Aortic Root Reconstruction Based on Geometric Features, in: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '16), EMBS, Orlando, FL, USA, pages 3273-3276, IEEE, 2016
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2015

Jannis Hagenah, Michael Scharfschwerdt, Alexander Schlaefer and Christoph Metzner, A machine learning approach for planning valve-sparing aortic root reconstruction (2015), in: Current Directions on Biomedical Engineering, 1(361-365)
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2014

Jannis Hagenah, Michael Scharfschwerdt, Christoph Metzner, Alexander Schlaefer, HH Sievers and Achim Schweikard, An approach for patient specific modeling of the aortic valve leaflets, in: BioMedTec Studierendentagung, 2014
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Jannis Hagenah, Michael Scharfschwerdt, Christoph Metzner, Alexander Schlaefer, HH Sievers and Achim Schweikard, An approach for patient specific modeling of the aortic valve leaflets, GRIN Verlag, 2014
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2013

Jannis Hagenah, Michael Scharfschwerdt, Birgit Stender, Sven Ott, R Friedl, HH Sievers and Alexander Schlaefer, A setup for ultrasound based assessment of the aortic root geometry, 2013
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Jannis Hagenah, Erstellung eines patientenindividuellen Modells der Aortenklappe, Universität zu Lübeck, 2013
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