Adel Saleh

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Loay Hassan

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Publications

2024
[j7]
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  - journals/make/HassanASP24
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Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors. Mach. Learn. Knowl. Extr. 6(1): 619-641 (2024)
2023
[j6]
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  - journals/computers/HassanSSPA23
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Loay Hassan, Adel Saleh, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser:
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. Comput. 12(11): 220 (2023)
2022
[c17]
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  - conf/ccia/HassanASP22
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Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. CCIA 2022: 269-278
2021
[j5]
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  - journals/ijimai/HassanSAOP21
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Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama Ahmed Omer, Domenec Puig:
Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs. Int. J. Interact. Multim. Artif. Intell. 6(6): 35-45 (2021)
[j4]
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  - journals/tds/HassanSAOP21
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Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama Ahmed Omer, Domenec Puig:
Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network. Traitement du Signal 38(3): 653-661 (2021)
[c16]
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Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques. CCIA 2021: 315-324

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