2 citations · 3 across the 3 of their papers we have counts for
3 papers
Lung Infection Severity Prediction Using Transformers with Conditional TransMix Augmentation and Cross-Attention
Bouthaina Slika, Fadi Dornaika, Fares Bougourzi +1
Lung infections, particularly pneumonia, pose serious health risks that can escalate rapidly, especially during pandemics. Accurate AI-based severity prediction from medical imagin…
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images
Bouthaina Slika, Fadi Dornaika, Hamid Merdji +1
To develop generic and reliable approaches for diagnosing and assessing the severity of COVID-19 from chest X-rays (CXR), a large number of well-maintained COVID-19 datasets are ne…
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation
Karim Hammoudi, Adnane Cabani, Bouthaina Slika +3
A novel approach of data augmentation based on irregular superpixel decomposition is proposed. This approach called SuperpixelGridMasks permits to extend original image datasets th…