My ultimate research goal is to enhance patient care by creating algorithms for automatically quantifying and generalizing the information latent in various medical images and leveraging them to resolve biomedical problems and answer important clinical questions in different fields of ocular diseases, breast cancer, complementary medicine and others. You can learn more here.
- Age-related Macular Degeneration, Glaucoma, Dry Eye, Bulbar Redness, Choroidal degeneration, Presbyopia, Myopia, breast cancer
- Automated segmentation of drusen/vessel, geographic atrophy (GA), cup & disc from fundus photography or fluorescein angiography
- Analysis of cup-to-disc ratio with fundus/OCT and dry eye patterns with lissamine green
- Retinal thickness topography based on semi-automated/automated segmentation of 3D OCT images
- Inter-/intra-Modality retinal image registration
- Longitudinal analysis of ocular diseases
- Mammographic texture analysis
- Phenotypic pattern learning
- Other clinical studies