62 citations · 204 across the 55 of their papers we have counts for
6 papers · 1 filter
Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review
Ahmad Obeid, Said Boumaraf, Anabia Sohail +5
Recent years witnessed remarkable progress in computational histopathology, largely fueled by deep learning. This brought the clinical adoption of deep learning-based tools within…
A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions
Hina Raja, Taimur Hassan, Bilal Hassan +5
This paper provides a systematic survey of retinal diseases that cause visual impairments or blindness, emphasizing the importance of early detection for effective treatment. It co…
Underwater Image Enhancement Using Pre-trained Transformer
Abderrahmene Boudiaf, Yuhang Guo, Adarsh Ghimire +4
The goal of this work is to apply a denoising image transformer to remove the distortion from underwater images and compare it with other similar approaches. Automatic restoration…
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…
Automated segmentation and extraction of posterior eye segment using OCT scans
Bilal Hassan, Taimur Hassan, Ramsha Ahmed +2
This paper proposes an automated method for the segmentation and extraction of the posterior segment of the human eye, including the vitreous, retina, choroid, and sclera compartme…
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…