Boris Gramatikov -
research interests
- Modern
diagnostic methods in ophthalmology
- Neural
Networks, Machine Learning (ML), and Artificial Intelligence (AI)
- Analyzing
Lancaster Red-Green test plots with ML and AI for assessing ocular
misalignment
- Polarization
optics and polarization compensators
- Detection
of central fixation for early identification of amblyopia and strabismus
- Eye-tracking
using information obtained directly from the fovea
- Detection
of ocular defocus in young subjects
- Using
eye tracking for identification of subjects with ADHD
- Computer
modeling of birefringent properties of optical media, including the retina
- Biometric
applications of retinal birefringence scanning
- Optical
imaging
- Combining
Retinal Birefringence Scanning (RBS) with other ophthalmic imaging
modalities
- Image
processing
- Wavelet
transform, time-frequency distributions with applications to optical
signal processing
- Parametric
modeling of biomedical signals
- Fast
autoregressive (AR) spectral estimation with applications to optical
signal processing
- Adaptive
algorithms
- Orthonormal
signal decomposition and feature extraction
- Coherence
in biomedical signals
- Application
of digital signal processors (DSPs) in medical devices
- Attention
attraction in ophthalmic diagnostic devices
- Application
of low-power laser diodes in ophthalmology
- Development
and optimization of computer-based diagnostic instruments for
ophthalmology
Last revised: July 2025