Curriculum Vitae

Martin Leipert

Martin Leipert

Researcher in Computed Tomography of Computer Science
Medical Engineering | Computer Vision Expert

Education

  • Doctor of Computer Science (Since 04/2022)
    Topic: Processing of computed tomography shoe scans and extraction of shoe measurement data for fit determination.

  • Medical Engineering MSc (10/2016 - 08/2019)
    FAU Erlangen-Nuremberg (Grade: 1.9)
    Subjects: Medical Image Processing, Numerics, Machine Learning, etc.

  • Semester abroad (08/2018 - 12/2018) Universidad de La Serena, La Serena, Chile Subjects: Project Evaluation, Web Developement, App Developement

  • Electrical Engineering BSc (04/2016-09/2016)

  • Medical Engineering B.Eng. (10/2012-04/2016) FAU Erlangen-Nuremberg

Experience

  • Researcher in Industrial Computed Tomography
    Deggendorf Institute of Technology, Deggendorf (02/2022 - 12/2024)

  • Researcher in Industrial Computed Tomography
    Fraunhofer EZRT, Deggendorf (11/2019 - 01/2022)

  • Working Student
    Siemens Healthineers, Forchheim (05/2019 - 09/2019)

  • Master’s Thesis Student
    Siemens Healthineers, Forchheim (12/2017 - 07/2018)

  • Working Student
    Siemens Healthineers, Forchheim (05/2016 - 11/2017)
    • Tool developement for model-based robotic calibration

  • Bachelor’s Thesis Student
    Siemens, Sektor Healthcare, Forchheim (10/2015 - 04/2016)

  • Working Student
    Siemens, Sektor Healthcare, Forchheim (02/2015 - 09/2015)
    • Assisted in the evaluation of reproducibility experiments for robotic CT systems.
  • Internship Semester
    Siemens, Sektor Healthcare, Forchheim (09/2014 – 01/2015)
    • Assisted in the evaluation of reproducibility experiments for robotic CT systems.
  • Tutor TH Nuremberg, Nuremberg (10/2014 - 01/2015)
    • Tutoring student in Electrical Engineering
  • Working Student Siemens, Sektor Healthcare, Forchheim (04/2014 – 09/2014)
    • Troubleshooting and evaluation for an algorithm for Digital Subtraction Angiography

Publications

  1. Leipert, M., Herl, G., Zabler, S., & Maier, A. (2024). Volumetric Instance Detection for Overlapping Shoes in Computed Tomography. 13th Conference on Industrial Computed Tomography (iCT) 2023, 6–9 February 2024, School of Engineering, Wels Campus, AT. e-Journal of Nondestructive Testing.

  2. M. T. Farooq, M. Leipert, A. Maier, and V. Christlein. Ressource-Efficient Moth Detection for Pest Monitoring with YOLOv5, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, MX, 2023, pp. 553–558.

  3. Leipert, M., Herl, G., Müller, M., Meskemper, J., & Zabler, S. (2023). Automated Shoe Metrology by X-Ray Computed Tomography. In Proceedings of the 3DBODY.TECH 2023 - 14th International Conference and Exhibition on 3D Body Scanning and Processing Technologies. Lugano, CH.

  4. Leipert, M., Herl, G., Stebani, J., Zabler, S., & Maier, A. (2023). Three Step Volumetric Segmentation for Automated Shoe Fitting. 12th Conference on Industrial Computed Tomography (iCT) 2023, 27 February – 2 March 2023, Fürth, DE. e-Journal of Nondestructive Testing, Vol. 28(3).

  5. Leipert, M., Vogeler, G., Seuret, M., Maier, A., & Christlein, V. (2020). The Notary in the Haystack – Countering Class Imbalance in Document Processing with CNNs. In Bai, X., Karatzas, D., Lopresti, D. (Eds.), Document Analysis Systems. DAS 2020. Lecture Notes in Computer Science (Vol. 12116). Springer, Cham.

  6. Leipert, M., Sadowski, J., Kießling, M., Ngandeu, E. K., & Maier, A. (2019). A Mixed Reality Simulation for Robotic Systems. In Handels, H., Deserno, T., Maier, A., Maier-Hein, K., Palm, C., & Tolxdorff, T. (Eds.), Bildverarbeitung für die Medizin 2019. Informatik aktuell. Springer Vieweg, Wiesbaden.

Talks

  • Volumetric Instance Detection for Overlapping Shoes in Computed Tomography at the 14th industrial Computed Tomography conference 2024 in Wels, Austria

  • Automated Shoe Metrology by X-Ray Computed Tomography at the 14th International Conference and Exhibition on 3D Body Scanning and Processing Technologies in Lugano, Switzerland

  • The Notary in the Haystack – Countering Class Imbalance in Document Processing with CNNs at the Document Analysis Systems Workshop 2020 in Wuhan, China

Posters

  • Three Step Volumetric Segmentation for Automated Shoe Fitting at the 12th Conference on Industrial Computed Tomography in Fürth, Germany

  • A Mixed Reality Simulation for Robotic Systems at the Bildverarbeitung für die Medizin 2019 Workshop in Lübeck, Germany

Awards

  • Best Student Paper (Honourable Mention) Document Analysis Systems Conference 2020 at Wuhan, China

    Best Student Paper Honorable Mention Martin Leipert

  • Faculty Award of efi Best Medical Engineering graduate in 2016, TH Nuremberg

  • Most Innovative Project Innovation Research Lab Exhibition (2016, ZIMT, FAU Erlangen)

Skills

  • Languages: German (native), English (mastery), Spanish (vantage)
  • Programming: Python, C#, C++, C, Java, Matlab

Contact