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Loay Hassan
Loay Hassan
Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain
Verified email at urv.cat
Title
Cited by
Cited by
Year
Partially Occluded Pedestrian Classification using Part-based Classifiers and Restricted Boltzmann Machine Model
S Aly, L Hassan, A Sagheer, H Murase
Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE …, 2013
102013
Beat-based PPG-ABP cleaning technique for blood pressure estimation
M Salah, OA Omer, L Hassan, M Ragab, AM Hassan, A Abdelreheem
IEEE Access 10, 55616-55626, 2022
92022
Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs
L Hassan, A Saleh, M Abdel-Nasser, OA Omer, D Puig
INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE …, 2020
92020
Efficient Stain-Aware Nuclei Segmentation Deep Learning Framework for Multi-Center Histopathological Images
L Hassan, M Abdel-Nasser, A Saleh, O A. Omer, D Puig
Electronics 2079-9292 10 (8), 954, 2021
82021
Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques
L Hassan, M Abedlnasser, A Saleh, D Puig
Artificial Intelligence Research and Development 339, 315 - 324, 2021
4*2021
Robust facial-based inter-beat interval estimation through spectral signature tracking and periodic filtering
M Salah, L Hassan, S Abdel-khier, AM Hassan, OA Omer
Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 1 …, 2022
22022
Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network
L Hassan, A Saleh, M Abdel-Nasser, OA Omer, D Puig
Traitement du Signal 38 (3), 653-661, 2021
22021
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach
L Hassan, A Saleh, VK Singh, D Puig, M Abdel-Nasser
Computers 12 (11), 220, 2023
12023
Partially Occluded Pedestrian Classification using Three Stage Cascaded Classifier
S Aly, L Hassan, A Sagheer
2014 9th International Conference on Computer Engineering & Systems (ICCES …, 2014
12014
Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors
L Hassan, M Abdel-Nasser, A Saleh, D Puig
Machine Learning and Knowledge Extraction 6 (1), 619-641, 2024
2024
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. Computers 2023, 12, 220
L Hassan, A Saleh, VK Singh, D Puig, M Abdel-Nasser
2023
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics
L Hassan, M Abdelnasser, A Saleh, P Domenec
Artificial Intelligence Research and Development 356, 269 - 278, 2022
2022
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