most citedCLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification

2 citations · 2 across the 3 of their papers we have counts for

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cs.CV2025

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…

cs.CV2025

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…