Detail

Keywords

Image Processing, Computer-Assisted; Medical Physics; Neural Networks (Computer); Optical Imaging; Physics; Tomography, Optical Coherence

Research group(s)

• Werkmeister Group
  Head: Rene Werkmeister
  Research Area: We are working on the identification and quantification of novel OCT imaging biomarkers.
  Members:
  Martin Pfister
  Bhavapriya Jasmin Schäfer
  Rene Werkmeister
  Kornelia Schützenberger
  Hannes Stegmann
  Alina Messner

Research interests

My research focus is on Optical Coherence Tomography (OCT) and its application in ophthalmology and dermatology.

Selected publications

1. Pfister, M. et al., 2019. Automated segmentation of dermal fillers in OCT images of mice using convolutional neural networks. Biomedical Optics Express, 10(3), p.1315. Available at: http://dx.doi.org/10.1364/BOE.10.001315.
2. Santos, V.A. dos et al., 2019. CorneaNet: fast segmentation of cornea OCT scans of healthy and keratoconic eyes using deep learning. Biomedical Optics Express, 10(2), p.622. Available at: http://dx.doi.org/10.1364/boe.10.000622.
3. Schuetzenberger, K. et al., 2019. Comparison of optical coherence tomography and high frequency ultrasound imaging in mice for the assessment of skin morphology and intradermal volumes. Scientific Reports, 9(1). Available at: http://dx.doi.org/10.1038/s41598-019-50104-4.
4. Stegmann, H. et al., 2020. Deep learning segmentation for optical coherence tomography measurements of the lower tear meniscus. Biomedical Optics Express, 11(3), p.1539. Available at: http://dx.doi.org/10.1364/BOE.386228.