Johanna Sprenger

 

 

 

 

 

 

esearch Assistant

+49 (0)40 42878 4639

E.1051

johanna.sprenger(at)tuhh.de

 

Curriculum Vitae

2019 - today MTEC Institute / TUHH
2016 - 2019 University of University of Lübeck
2012 - 2015 University of University of Lübeck

Interests

  • Deep Learning for Medical Imaging
  • Motion Compensation
  • Optical Coherence Tomography for Tracking
  • Ultrasound for Tracking

Roles

  • Research assistant
  • PhD student

 

Publications

2022

  • J. Sprenger, M. Neidhardt, S. Latus, S. Grube, M. Fischer, A. Schlaefer (2022). Surface Scanning for Navigation Using High-Speed Optical Coherence Tomography. Current Directions in Biomedical Engineering. 8. (1), 62-65 [Abstract] [doi][www][BibTex]

  • J. Sprenger, M. Bengs, S. Gerlach, M. Neidhardt, A. Schlaefer (2022). Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking. International Journal of Computer Assisted Radiology, Surgery. [Abstract] [doi][www][BibTex]

  • T. Sonntag, M. Bauer, J. Sprenger, S. Gerlach, P. Breitfeld, A. Schlaefer (2022). Deep learning based segmentation of cervical blood vessels in ultrasound images. European Journal of Anaesthesiology 41 [Abstract] [BibTex]

2021

  • K. P. Abdolazizi, K. Linka, J. Sprenger, M. Neidhardt, A. Schlaefer, C. J. Cyron (2021). Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics, machine learning. Proceedings in applied mathematics, mechanics. 21. (1), e202100250 [Abstract] [www][BibTex]

  • J. Sprenger, J. Petersen, N. Neumann, H. Reichenspurner, D. Russ, C. Detter, A. Schlaefer (2021). Tracking heart surface features to determine myocardial contrast agent enrichment:. Current Directions in Biomedical Engineering. 7 (1), 53-57. [Abstract][doi][www][BibTex]

  • K. P. Abdolazizi, K. Linka, J. Sprenger, M. Neidhardt, A. Schlaefer, C. J. Cyron (2021). Concentration-Specific Constitutive Modeling of Gelatin Based on Artificial Neural Networks. PAMM. 20 (1), e202000284. [Abstract][doi][www][BibTex]

  • J. Sprenger, T. Saathoff, A. Schlaefer (2021). Automated robotic surface scanning with optical coherence tomography. IEEE International Symposium on Biomedical Imaging [Abstract][BibTex]

  • S. Latus, J. Sprenger, M. Neidhardt, J. Schadler, A. Ron, A. Fitzek, M. Schlüter, P. Breitfeld, A. Heinemann, K. Püschel, A. Schlaefer (2021). Rupture detection during needle insertion using complex OCT data and CNNs. IEEE Transactions on Biomedical Engineering. 1-1. [Abstract][doi][BibTex]

  • J. Sprenger, M. Neidhardt, M. Schlüter, S. Latus, T. Gosau, J. Kemmling, S. Feldhaus, U. Schumacher, A. Schlaefer (2021). In-vivo markerless motion detection from volumetric optical coherence tomography data using CNNs. In Cristian A. Linte and Jeffrey H. Siewerdsen (Eds.) Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling SPIE: 345 - 350. [Abstract][doi][www][BibTex]

2020

  • L. Bargsten, K. A. Riedl, T. Wissel, F. J. Brunner, K. Schaefers, J. Sprenger, M. Grass, S. Blankenberg, M. Seiffert, A. Schlaefer (2020). Tailored Methods for Segmentation of Intravascular Ultrasound Images via Convolutional Neural Networks. SPIE Medical Imaging Conference accepted. [BibTex]

  • A. Rogalla, S. Lehmann, M. Neidhardt, J. Sprenger, M. Bengs, A. Schlaefer, S. Schupp (2020). Synthesizing Strategies for Needle Steering in Gelatin Phantoms. Models for Formal Analysis of Real Systems (MARS 2020) [Abstract][doi][www][BibTex]

  • M. Schlüter, L. Glandorf, J. Sprenger, M. Gromniak, M. Neidhardt, T. Saathoff, A. Schlaefer (2020). High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images. IEEE International Symposium on Biomedical Imaging 1979-1982. [Abstract][doi][BibTex]