3 papers
eess.IV2021
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Taimur Hassan, Bilal Hassan, Muhammad Usman Akram +3
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause severe visual impairments or even blindness. Many researchers have developed autonomous sy…
eess.IV2020
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression
Hina Raja, Taimur Hassan, Muhammad Usman Akram +1
Objective: Glaucoma is the second leading cause of blindness worldwide. Glaucomatous progression can be easily monitored by analyzing the degeneration of retinal ganglion cells (RG…
cs.CV2020
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions
Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi
Retinal lesions play a vital role in the accurate classification of retinal abnormalities. Many researchers have proposed deep lesion-aware screening systems that analyze and grade…