Jannis Hagenah


Research Assistant

Ratzeburger Allee 160
23562 Lübeck
Building 64, Room 89 (GF)

Phone: +49 451 31015215
Fax: +49 451 31015204
Email:
Jannis Hagenah

Short Biography

In 2016, Jannis Hagenah received his M.Sc. in Medical Engineering Science from the University of Lübeck. He spent several research stays at the Xi'an Jiaotong University in China. In mid-2016, he joined the Institute for Robotics and Cognitive Systems at the University of Lübeck as a Research Associate. The focus of his work lies on the application of artificial intelligence in personalized medicine, especially for cardiovascular applications.

Research Interests

  • Artificial Intelligence and Machine Learning
  • Personalized cardiovascular medicine
  • Machine learning on small, uncertain data sets
  • Medical image processing

          Memberships

          • since 2018: Member of senate committee of the MINT section
          • German Society of Biomedical Engineering (DGBMT)
          • IEEE Engineering in Medicine and Biology Society (IEEE EMBS)

          Publications

          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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          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 2018
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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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