An automated approach to translate a biological process from ODEs into graphical hybrid functional Petri Nets. - Imene Mecheter; Rachid Hadjidj; Sebti Foufou (CIBCB, 2017)

Brain MR Imaging Segmentation Using Convolutional Auto Encoder Network for PET Attenuation Correction. - Imene Mecheter; Abbes Amira; Maysam Abbod; Habib Zaidi (IntelliSys (3), 2020)

Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. - Imene Mecheter; Abbes Amira; Maysam Abbod; Habib Zaidi (SSCI, 2020)

MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation. - Imene Mecheter; Lejla Alic; Maysam Abbod; Abbes Amira; Jim Ji 001 (J. Digit. Imaging, 2020)

Deep learning with multiresolution handcrafted features for brain MRI segmentation. - Imene Mecheter; Maysam Abbod; Abbes Amira; Habib Zaidi (Artif. Intell. Medicine, 2022)

Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation. - Imene Mecheter; Maysam Abbod; Habib Zaidi; Abbes Amira (Neurocomputing, 2022)

Transfer learning from T1-weighted to T2-weighted Magnetic resonance sequences for brain image segmentation. - Imene Mecheter; Maysam Abbod; Habib Zaidi; Abbes Amira (CAAI Trans. Intell. Technol., 2024)

Deep Learning in Automated Power Line Inspection: A Review. - Md. Ahasan Atick Faisal; Imene Mecheter; Yazan Qiblawey; Javier Hernandez Fernandez; Muhammad E. H. Chowdhury; Serkan Kiranyaz (CoRR, 2025)