RSENSE publications

Peer-Reviewed Publications
  • Stylogiannis, A.; Prade, L.; Glasl, S.; Mustafa, Q.; Zakian, C.; Ntziachristos, V. (2022) Frequency wavelength multiplexed optoacoustic tomography. Nature Comm.

  • Dehner, C.; Olefir, I.; Chowdhury, K. B.; Jüstel, D.; Ntziachristos, V. (2022) Deep-Learning-Based Electrical Noise Removal Enables High Spectral Optoacoustic Contrast in Deep Tissue. IEEE.

  • Stylogiannis, A.; Kousias, N.; Kontses, A.; Ntziachristos, L.; Ntziachristos, V. (2021) A Low-Cost Optoacoustic Sensor for Environmental Monitoring. Sensors.

  • Waibel, D. J. E.;  Boushehri, S. S.; Marr, C. (2921) InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification. BMC Bioinformatics.

  • Stylogiannis, A.; Riobo, L.; Prade, L.; Glasl, S.; Klein, S.; Lucidi, G.; Fuchs, M.; Saur, D.; Ntziachristos, V.  (2020) Low-cost single-point optoacoustic sensor for spectroscopic measurement of local vascular oxygenation. Opt. Lett.
Preprints
  • Uluç, N.; Glasl, S.; Jüstel, D.; Pleitez, M.A.; Ntziachristos, V. Non-invasive in-blood glucose sensing. BioRxiv.

  • Stylogiannis, A.; Prade, L.; Glasl, S.; Mustafa, Q.; Zakian, C.; Ntziachristos, V. (2021) Frequency Comb Optoacoustic Tomography. BioRxiv.

  • Dehner, C.; Olefir, I.; Chowdhury, K. B.; Jüstel, D.; Ntziachristos, V. (2021). Deep learning based electrical noise removal enables high spectral optoacoustic contrast in deep tissue. arXiv.

  • Waibel, D.; Boushehri, S. S.; Marr, C. (2020) InstantDL – An easy-to-use deep learning pipeline for image segmentation and classification. BioRxiv .