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Martin Pfister
DI Martin Pfister

Center for Medical Physics and Biomedical Engineering
Position: PHD Student

ORCID: 0000-0002-0943-4644
T +43 1 40400 19670


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

Research group(s)

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:
  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:
  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:
  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: