An engaging speaker at the SIIM Annual Meeting discussing advances in medical imaging technology.

Event Speaker

Homa Rashidisabet, PhD

Research Assistant Professor

University of Illinois Chicago

Homa is a Research Assistant Professor in the Department of Ophthalmology and Visual Sciences at the University of Illinois Chicago (UIC). Her research focuses on developing advanced AI solutions for detecting abnormalities and predicting blinding ophthalmic conditions, such as glaucoma and diabetic retinopathy, using fundus and optical coherence tomography (OCT) images.

Sessions

AI for Imaging Biomarkers Scientific Research Abstracts

Presented by Kaveri Thakoor, PhD, Vincent Dong, MS, Homa Rashidisabet, PhD in Ophthalmology, Radiology Jun 11, 2026 | 7:30 AM.

Diabetic Retinopathy Progression Classification and Analysis of Retinal Signature Changes in Fundus Images Homa Rashidisabet, PhD, Research Assistant Professor, University of Illinois Chicago Andrius Kazlauskas, PhD; Darvin Yi, PhD Radiomic Characterization of Background Parenchymal Enhancement on Breast DCE-MRI: A Preliminary Risk Stratification Study Vincent Dong, MS, PhD Candidate, University of Pennsylvania Carla Zeballos Torrez, MD,…

Ophthalmic Imaging AI: Computer Vision for Retinal Disease Prediction

Presented by Sandeep Chandra Bollepalli, PhD, Kaveri Thakoor, PhD, Kyle Bolo, MD, Homa Rashidisabet, PhD in Ophthalmology, Radiology Jun 10, 2026 | 1:45 PM.

Artificial intelligence is rapidly expanding the diagnostic value of ophthalmic imaging, transforming retinal photographs and optical coherence tomography (OCT) scans into rich sources of predictive clinical insight. As deep learning and computer vision methods mature, retinal imaging is increasingly being used not only to document ocular abnormalities, but also to identify subtle biomarkers associated with progressive diseases…