Johanna Sprenger

 

 

 

 

 

 

 Research Assistant

 +49 (0)40 42878 4639

  E.1051

 johanna.sprenger(at)tuhh.de

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]