| Automatic detection and classification of retinal vascular landmarks H Hamad, D Tegolo, C Valenti Image Analysis & Stereology 33 (3), 189-200, 2014 | 14 | 2014 |
| Brain tumor region segmentation using local co-occurrence features and conditional random fields S Manivannan, H Shen, W Li, R Annunziata, H Hamad, R Wang, J Zhang Technique Report, 2014 | 7 | 2014 |
| Unsupervised recognition of retinal vascular junction points L Di Rosa, H Hamad, D Tegolo, C Valenti 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 4 | 2014 |
| Exudates as Landmarks Identified through FCM Clustering in Retinal Images H Hamad, T Dwickat, D Tegolo, C Valenti Applied Sciences 11 (1), 142, 2021 | 1 | 2021 |
| Modeling retinal landmarks for medical diagnosis automatization H Hamad Università degli Studi di Palermo, 2015 | | 2015 |
| Analysis of The Logistic Distribution Use in The Suppression Technique for Scalability in Multicast Routing HAK Hamad | | 2007 |
| for Scalability in Multicast Routingin The Suppression TechniqueAnalysis of The Logistic Distribution Use HAK Hamad An-Najah National University, 2007 | | 2007 |
| دمح يداهو، تاكيود ريرحت T Dwickat, H Hamad | | |
| Detecting diabetic retinopathy exudates in fundus images using fuzzy c-means (FCM) T Dwickat, H Hamad | | |
