
DI Martin Pfister
Center for Medical Physics and Biomedical Engineering
Position: PHD Student
ORCID: 0000-0002-0943-4644
T +43 1 40400 19670
martin.pfister@meduniwien.ac.at
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:
Research interests
My research focus is on Optical Coherence Tomography (OCT) and its application in ophthalmology and dermatology.
Selected publications
- 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.
- 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.
- 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.
- 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.