Lymphoma Lesions Detection from Whole Body Diffusion-Weighted Magnetic Resonance Images. - Radhia Ferjaoui; Mohamed Ali Cherni; Nour El Houda Kraiem; Tarek Kraiem (CoDIT, 2018)

Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images. - Radhia Ferjaoui; Mohamed Ali Cherni; Sana Boujnah; Nour El Houda Kraiem; Tarek Kraiem (Comput. Methods Programs Biomed., 2021)

Deep Residual Learning based on ResNet50 for COVID-19 Recognition in Lung CT Images. - Radhia Ferjaoui; Mohamed Ali Cherni; Fathia Abidi; Asma Zidi (CoDIT, 2022)

Hybrid approach for speaker recognition based on formant and pitch extraction. - Sana Boujnah; Radhia Ferjaoui; Anouar Ben Khalifa (CW, 2023)

Person Identification with Voice and Ear-print in Degraded Conditions for Smart Home Access. - Sana Boujnah; Radhia Ferjaoui; Anouar Ben Khalifa (CW, 2023)

A Novel Public Database of Lymphoma for Whole Body Diffusion-Weighted MRI. - Radhia Ferjaoui; Sana Boujnah; Nour El Houda Kraiem; Tarek Kraiem; Anouar Ben Khalifa (CW, 2023)

A Novel Deep Neural Network Model using Resnet50-BiLSTM for Biometric Ear Recognition in Degraded Conditions. - Sana Boujnah; Radhia Ferjaoui; Anouar Ben Khalifa (ATSIP, 2024)

A Deep CNN-BiGRU model for Lymphoma and Residual Masses Recognition. - Radhia Ferjaoui; Sana Boujnah; Anouar Ben Khalifa (ATSIP, 2024)

A Deep GRU-BiLSTM Network for Multi-modal Emotion Recognition from Text. - Ibtissem Yacoubi; Radhia Ferjaoui; Anouar Ben Khalifa (ATSIP, 2024)

A Novel Handcrafted Features and Deep BiLSTM Neural Network for Lymphoma Recognition. - Radhia Ferjaoui; Sana Boujnah; Anouar Ben Khalifa (CoDIT, 2024)

Ultrasound Imaging Enhancement Using Denoising AutoEncoders. - Taher Slimi; Radhia Ferjaoui; Anouar Ben Khalifa (SSD, 2025)

Advancing Emotion Recognition through LLaMA3 and LoRA Fine-Tuning. - Ibtissem Yacoubi; Radhia Ferjaoui; Warith Eddine Djeddi; Anouar Ben Khalifa (SSD, 2025)