• 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]

  • S. Lehmann, A. Rogalla, M. Neidhardt, A. Reinecke, A. Schlaefer, S. Schupp (2022). Modeling R3 Needle Steering in Uppaal. In Dubslaff, Clemens and Luttik, Bas (Eds.) Proceedings Fifth Workshop on Models for Formal Analysis of Real Systems, Munich, Germany, 2nd April 2022 Open Publishing Association: 40-59 [Abstract] [doi] [BibTex]

  • S. Grube, M. Neidhardt, S. Latus, A. Schlaefer (2022). Influence of the Field of View on Shear Wave Velocity Estimation. Current Directions in Biomedical Engineering. 8. (1), 42-45 [Abstract] [doi] [www] [BibTex]

  • R. Mieling, C. Stapper, S. Gerlach, M. Neidhardt, S. Latus, M. Gromniak, P. Breitfeld, A. Schlaefer (2022). Proximity-Based Haptic Feedback for Collaborative Robotic Needle Insertion. In Seifi, Hasti and Kappers, Astrid M. L. and Schneider, Oliver and Drewing, Knut and Pacchierotti, Claudio and Abbasimoshaei, Alireza and Huisman, Gijs and Kern, Thorsten A. (Eds.) Haptics: Science, Technology, Applications Springer International Publishing: Cham 301-309 [Abstract] [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]

  • M. Neidhardt, M. Bengs, S. Latus, S. Gerlach, C. J. Cyron, J. Sprenger, A. Schlaefer (2022). Ultrasound Shear Wave Elasticity Imaging with Spatio-Temporal Deep Learning. IEEE Transactions on Biomedical Engineering. 1-1 [Abstract] [doi] [www] [BibTex]

  • M. Neidhardt, S. Gerlach, R. Mieling, M.-H. Laves, T. Weiß, M. Gromniak, A. Fitzek, D. Möbius, I. Kniep, A. Ron, J. Schädler, A. Heinemann K., Püschel, B. Ondruschka, A. Schlaefer (2022). Robotic Tissue Sampling for Safe Post-Mortem Biopsy in Infectious Corpses. IEEE Transactions on Medical Robotics and Bionics. 4. (1), 94-105 [Abstract] [doi] [www] [BibTex]


  • 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]

  • G. A. Holzapfel, K. Linka, S. Sherifova, C. J. Cyron (2021). Predictive constitutive modelling of arteries by deep learning. Journal of The Royal Society Interface. 18 (182), 20210411. [Abstract] [doi] [www] [BibTex]

  • S. Lehmann, A. Rogalla, M. Neidhardt, A. Schlaefer, S. Schupp (2021). Online Strategy Synthesis for Safe, Optimized Control of Steerable Needles. Electronic Proceedings in Theoretical Computer Science. 348 128-135. [Abstract] [doi] [www] [BibTex]

  • M. Neidhardt, J. Ohlsen, N. Hoffmann, A. Schlaefer (2021). Parameter Identification for Ultrasound Shear Wave Elastography Simulation:. Current Directions in Biomedical Engineering. 7 (1), 35-38. [Abstract] [doi] [www] [BibTex]

  • K. Linka, M. Hillgärtner, K. P. Abdolazizi, R. C. Aydin, M. Itskov, C. J. Cyron (2021). Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning. Journal of Computational Physics. 429 110010. [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]

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

  • J. Ohlsen, M. Neidhardt, A. Schlaefer, N. Hoffmann (2021). Modelling shear wave propagation in soft tissue surrogates using a finite element- and finite difference method. PAMM. 20 (1), e202000148. [Abstract] [doi] [www] [BibTex]