6 citations · 9 across the 4 of their papers we have counts for
4 papers
FGR-Net:Interpretable fundus imagegradeability classification based on deepreconstruction learning
Saif Khalid, Hatem A. Rashwan, Saddam Abdulwahab +3
The performance of diagnostic Computer-Aided Design (CAD) systems for retinal diseases depends on the quality of the retinal images being screened. Thus, many studies have been dev…
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings
Eddardaa B. Loussaief, Mohammed Ayad, Domenc Puig +1
The joint utilization of diverse data sources for medical imaging segmentation has emerged as a crucial area of research, aiming to address challenges such as data heterogeneity, d…
Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models
Eddardaa Ben Loussaief, Hatem Rashwan, Mohammed Ayad +2
With numerous medical tasks, the performance of deep models has recently experienced considerable improvements. These models are often adept learners. Yet, their intricate architec…
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network
Armin Masoumian, Hatem A. Rashwan, Saddam Abdulwahab +2
Depth estimation is a challenging task of 3D reconstruction to enhance the accuracy sensing of environment awareness. This work brings a new solution with a set of improvements, wh…