Loay Hassan
Orcid: 0000-0003-3877-8304
According to our database1,
Loay Hassan
authored at least 9 papers
between 2013 and 2024.
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Bibliography
2024
Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors.
Mach. Learn. Knowl. Extr., March, 2024
Appl. Intell., March, 2024
2023
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach.
Comput., October, 2023
2022
IEEE Access, 2022
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics.
Proceedings of the Artificial Intelligence Research and Development, 2022
2021
Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network.
Traitement du Signal, 2021
Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs.
Int. J. Interact. Multim. Artif. Intell., 2021
Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques.
Proceedings of the Artificial Intelligence Research and Development, 2021
2013
Partially occluded pedestrian classification using part-based classifiers and Restricted Boltzmann Machine model.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013