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Ahmed Al Marouf

Showing results (1-10 of 9) with videos related to

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Cancers|November 27, 2025
Integrating Multi-Omics and Medical Imaging in Artificial Intelligence-Based Cancer Research: An Umbrella Review of Fusion Strategies and ApplicationsAhmed Al Marouf, Jon George Rokne, Reda Alhajj
Cancers|December 11, 2025
Identification of Potential Biomarkers in Prostate Cancer Microarray Gene Expression Leveraging Explainable Machine Learning ClassifiersAhmed Al Marouf, Jon George Rokne, Reda Alhajj
Diagnostics (Basel, Switzerland)|November 13, 2025
Lightweight Deep Learning Models with Explainable AI for Early Alzheimer's Detection from Standard MRI ScansFalah Sheikh, Ahmed Al Marouf, Jon George Rokne, et al.
Scientific Reports|October 15, 2025
Automated lunar age detection through determining the day of the synodic month using convolutional neural networksZaid Nissar, Falah Sheikh, Ahmed Al Marouf, et al.
Bioengineering (Basel, Switzerland)|January 21, 2023
An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection MethodsAhmed Al Marouf, Md Mozaharul Mottalib, Reda Alhajj, et al.
Biomedicines|October 29, 2025
Leveraging Machine Learning for Severity Level-Wise Biomarker Identification in Prostate Cancer Microarray Gene Expression DataAhmed Al Marouf, Tarek A Bismar, Sunita Ghosh, et al.
BMC Medical Informatics and Decision Making|November 28, 2025
Eye-XAI: an explainable artificial intelligence approach for eye disease detection using symptom analysisAhmed Al Marouf, Md Mozaharul Mottalib, Sadia Sobhana Ridi, et al.
Cancers|October 14, 2023
Genomic Biomarker Discovery in Disease Progression and Therapy Response in Bladder Cancer Utilizing Machine LearningKonstantinos Christos Liosis, Ahmed Al Marouf, Jon G Rokne, et al.
Methodsx|July 14, 2025
XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusionMd Assaduzzaman, Prayma Bishshash, Md Asraful Sharker Nirob, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Cancers|November 27, 2025
Integrating Multi-Omics and Medical Imaging in Artificial Intelligence-Based Cancer Research: An Umbrella Review of Fusion Strategies and ApplicationsAhmed Al Marouf, Jon George Rokne, Reda Alhajj
Cancers|December 11, 2025
Identification of Potential Biomarkers in Prostate Cancer Microarray Gene Expression Leveraging Explainable Machine Learning ClassifiersAhmed Al Marouf, Jon George Rokne, Reda Alhajj
Diagnostics (Basel, Switzerland)|November 13, 2025
Lightweight Deep Learning Models with Explainable AI for Early Alzheimer's Detection from Standard MRI ScansFalah Sheikh, Ahmed Al Marouf, Jon George Rokne, et al.
Scientific Reports|October 15, 2025
Automated lunar age detection through determining the day of the synodic month using convolutional neural networksZaid Nissar, Falah Sheikh, Ahmed Al Marouf, et al.
Bioengineering (Basel, Switzerland)|January 21, 2023
An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection MethodsAhmed Al Marouf, Md Mozaharul Mottalib, Reda Alhajj, et al.
Biomedicines|October 29, 2025
Leveraging Machine Learning for Severity Level-Wise Biomarker Identification in Prostate Cancer Microarray Gene Expression DataAhmed Al Marouf, Tarek A Bismar, Sunita Ghosh, et al.
BMC Medical Informatics and Decision Making|November 28, 2025
Eye-XAI: an explainable artificial intelligence approach for eye disease detection using symptom analysisAhmed Al Marouf, Md Mozaharul Mottalib, Sadia Sobhana Ridi, et al.
Cancers|October 14, 2023
Genomic Biomarker Discovery in Disease Progression and Therapy Response in Bladder Cancer Utilizing Machine LearningKonstantinos Christos Liosis, Ahmed Al Marouf, Jon G Rokne, et al.
Methodsx|July 14, 2025
XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusionMd Assaduzzaman, Prayma Bishshash, Md Asraful Sharker Nirob, et al.
Pageof 1