Automatic detection and classification of retinal vascular landmarks H Hamad, D Tegolo, C Valenti Image Analysis and Stereology 33 (3), 189-200, 2014 | 19 | 2014 |
Exudates as landmarks identified through FCM clustering in retinal images H Hamad, T Dwickat, D Tegolo, C Valenti Applied Sciences 11 (1), 142, 2020 | 11 | 2020 |
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, 015-019, 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 |
Korselt Numbers Through Computational Algorithms. A Eshtaya, K Adarbeh, H Hamad An-Najah University Journal for Research, A: Natural Sciences 38 (2), 2024 | | 2024 |
Korselt Numbers Through Computational Algorithms K Adarbeh, H Hamad, A Eshtaya An-Najah University Journal for Research-A (Natural Sciences) 38 (2), 77-84, 2023 | | 2023 |
Radial basis functions for solving Volterra integral equations M Yasin, H Hamad, F Aqel, Y Jaafra | | 2023 |
Detecting diabetic retinopathy exudates in fundus images using fuzzy c-means (FCM) T Dwickat, H Hamad An-Najah University Journal for Research-A (Natural Sciences) 35 (1), 37-64, 2020 | | 2020 |
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 |