76 citations · 108 across the 16 of their papers we have counts for
4 papers · 1 filter
iPac: Incorporating Intra-image Patch Context into Graph Neural Networks for Medical Image Classification
Usama Zidan, Mohamed Gaber, Mohammed M. Abdelsamea
Graph neural networks have emerged as a promising paradigm for image processing, yet their performance in image classification tasks is hindered by a limited consideration of the u…
CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification
Asmaa Abbas, Mohamed Gaber, Mohammed M. Abdelsamea
Identifying high-quality and easily accessible annotated samples poses a notable challenge in medical image analysis. Transfer learning techniques, leveraging pre-training data, of…
CAPRI-CT: Causal Analysis and Predictive Reasoning for Image Quality Optimization in Computed Tomography
Sneha George Gnanakalavathy, Hairil Abdul Razak, Robert Meertens +3
In computed tomography (CT), achieving high image quality while minimizing radiation exposure remains a key clinical challenge. This paper presents CAPRI-CT, a novel causal-aware d…
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification
Asmaa Abbas, Mohamed Gaber, Mohammed M. Abdelsamea
Curriculum learning strategies have been proven to be effective in various applications and have gained significant interest in the field of machine learning. It has the ability to…