ID-IRC : 2308030798
CHOUGRAD HIBA
Professeur d’habilité
Spécialité : Informatique
École Nationale des Sciences Appliquées de Fès
Domaine de Maîtrise :
Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA
Domaine d’intérêt :
Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA
Les publications :
- Chougrad, H., Zouaki, H., & Alheyane, O. (2018). Deep convolutional neural networks for breast cancer screening. Computer methods and programs in biomedicine, 157, 19-30.https://www.sciencedirect.com/science/article/pii/S0169260717301451
- Chougrad, H., Zouaki, H., & Alheyane, O. (2020). Multi-label transfer learning for the early diagnosis of breast cancer. Neurocomputing, 392, 168-180. https://www.sciencedirect.com/science/article/pii/S0925231219304710
- Rassil, A., Chougrad, H., & Zouaki, H. (2020). Graph neural networks to advance anticancer drug design. In Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I 16 (pp. 216-226). Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-030-49161-1_19
- HIBA, CHOUGRAD, HAMID, ZOUAKI, et OMAR, ALHEYANE. An improved breast tissue density classification framework using bag of features model. In : 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt). IEEE, 2016. p. 405-409. https://ieeexplore.ieee.org/abstract/document/7805081