592 citations · 1k across the 11 of their papers we have counts for
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D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation
Fares Bougourzi, Cosimo Distante, Fadi Dornaika +1
In the last three years, the world has been facing a global crisis caused by Covid-19 pandemic. Medical imaging has been playing a crucial role in the fighting against this disease…
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…
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans
Fares Bougourzi, Fadi Dornaika, Amir Nakib +2
Since the appearance of Covid-19 in late 2019, Covid-19 has become an active research topic for the artificial intelligence (AI) community. One of the most interesting AI topics is…
Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan
Fares Bougourzi, Cosimo Distante, Fadi Dornaika +1
Since the appearance of Covid-19 in late 2019, Covid-19 has become an active research topic for the artificial intelligence (AI) community. One of the most interesting AI topics is…
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi +4
Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the wo…