Publications by authors named "Samah Baraheem"
The proliferation of Artificial Intelligence (AI) models such as Generative Adversarial Networks (GANs) has shown impressive success in image synthesis. Artificial GAN-based synthesized images have been widely spread over the Internet with the advancement in generating naturalistic and photo-realistic images. This might have the ability to improve content and media; however, it also constitutes a threat with regard to legitimacy, authenticity, and security.
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- The paper explores using chest X-ray imaging for early disease screening through deep learning and computer vision.
- Researchers propose a method inspired by doctor consultations, merging multiple deep learning models to improve accuracy.
- Experiments show that an early fusion approach significantly outperforms individual models, achieving better accuracy on different X-ray datasets.
Automatic event recognition in sports photos is both an interesting and valuable research topic in the field of computer vision and deep learning. With the rapid increase and the explosive spread of data, which is being captured momentarily, the need for fast and precise access to the right information has become a challenging task with considerable importance for multiple practical applications, i.e.
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