Posts by Tobias Elze, PhD
-
Usage Patterns of Minimally Invasive Glaucoma Surgery Differ by Glaucoma Type
Researchers at Mass Eye and Ear, led by Nazlee Zebardast, MD, MSc, examined six years of nationwide U.S. data on standard and minimally invasive glaucoma surgery. They found that the specific glaucoma diagnosis influences the choice of procedure, as well as concurrent and subsequent surgeries.
-
Laterality of Retinal Vascular Occlusion Depends on Subtype
Tobias Elze, PhD, of Schepens Eye Research Institute of Mass Eye and Ear, and colleagues observed a positive relationship between older age and the frequency of onset of retinal vascular occlusion, but onset differences related to gender and laterality were inconsistent for each subtype.
-
Central Visual Field Patterns Identified by Artificial Intelligence Improve Prediction of Glaucoma Progression
Researchers at Mass Eye and Ear, and colleagues report progress toward a computer algorithm that could detect worsening of glaucoma based on central visual field loss.
Biography
? Dr. Elze is a computational vision scientist at Schepens Eye Research Institute of Mass Eye and Ear. His research addresses the methodology of basic and clinical vision science, such as optimal design of experiments and clinical studies and optimal data analysis (particularly for large and high-dimensional datasets). Dr. Elze's current projects include the functional characterization of eye diseases like glaucoma, age-related macular degeneration (AMD), and diabetic retinopathy, and the relationship between retinal structure and functional vision loss. Dr. Elze also develops adaptive sampling techniques for efficient clinical function testing and investigates display technology for clinical applications. br> As a former member of the research group “Complex Structures in Biology and Cognition” at Max Planck Institute for Mathematics in the Sciences, Dr. Elze focused on methodology in visual neuroscience and psychophysics. In 2011, he joined the laboratory of Dr. Peter Bex at Schepens Eye Research Institute of Mass Eye and Ear, where he started to investigate ophthalmic diseases using psychophysical and bioinformatical methods and machine learning. In 2013, he became an Instructor in Ophthalmology and in 2017 an Assistant Professor of Ophthalmology at Harvard Medical School. His group works in the intersection among mathematics, computer science, and clinical ophthalmology.