Karim Hammoudi

Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images

Mar 18, 2023
Bouthaina Slika, Fadi Dornaika, Hamid Merdji, Karim Hammoudi

Figure 2 for Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images

Figure 3 for Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images

Figure 4 for Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible

Access Paper or Ask Questions

SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation

Apr 11, 2022
Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi

Figure 2 for SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation

Figure 3 for SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation

Figure 4 for SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation

* The project is available at https://github.com/hammoudiproject/SuperpixelGridMasks

Access Paper or Ask Questions

MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19

Aug 18, 2020
Adnane Cabani, Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi

Figure 2 for MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19

Figure 3 for MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19

Figure 4 for MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19

Access Paper or Ask Questions

Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19

Apr 05, 2020
Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel

Figure 2 for Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19

Figure 3 for Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19

Figure 4 for Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19

* 6 pages

Access Paper or Ask Questions

Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems

Nov 25, 2014
Karim Hammoudi, Nabil Ajam, Mohamed Kasraoui, Fadi Dornaika, Karan Radhakrishnan, Karthik Bandi, Qing Cai, Sai Liu

Figure 1 for Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems

Figure 2 for Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems

Figure 3 for Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems

Figure 4 for Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems

* paper accepted for publication in the proceedings of the "17\`eme Colloque Compression et Repr\'esentation des Signaux Audiovisuels" (CORESA), 5p., Reims, France, 2014. (preprint)

Access Paper or Ask Questions

A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data

Aug 29, 2013
Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, John McDonald, Nicolas Paparoditis

Figure 2 for A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data

Figure 3 for A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data

Figure 4 for A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data

* International Journal of Advanced Robotic Systems, vol. 10, 10p., 2013

Access Paper or Ask Questions