Domaine de Maîtrise :
Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA

Domaine d’intérêt :
Biopathologie et Recherche Biomédicale, Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA

Les publications :
Thesis Title: New approach using deep learning for computer-aided diagnosis systems of medical images. 1. Bakkouri Ibtissam, Afdel Karim (2017) Breast tumor classification based on deep convolutional neural networks. 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). doi: 10.1109/atsip.2017.8075562. 2. Bakkouri Ibtissam, Afdel Krim (2018) Multi-scale CNN based on region proposals for efficient breast abnormality recognition. Multimedia Tools and Applications 78:12939-12960. doi: 10.1007/s11042-018-6267-z. 3. Bakkouri Ibtissam, Afdel Karim (2018) Convolutional Neural-Adaptive Networks for Melanoma Recognition. Lecture Notes in Computer Science 453-460. doi: 10.1007/978-3-319-94211-7_49. 4. Bakkouri Ibtissam, Afdel Karim (2019) Computer-aided diagnosis (CAD) system based on multi-layer feature fusion network for skin lesion recognition in dermoscopy images. Multimedia Tools and Applications. doi: 10.1007/s11042-019-07988-1. 5. Bakkouri Ibtissam, Afdel Karim, Benois-Pineau Jenny, Catheline Gwenaëlle (2019) Recognition of Alzheimer's Disease on sMRI based on 3D Multi-Scale CNN Features and a Gated Recurrent Fusion Unit. doi: 10.1109/CBMI.2019.8877477. 6. Bakkouri Ibtissam, Afdel Karim (2020) DermoNet: A Computer-Aided Diagnosis System for Dermoscopic Disease Recognition. doi: 10.1007/978-3-030-51935-3_18.