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7 works

Work: Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features

  1. Advanced machine learning framework for enhancing breast cancer diagnostics through transcriptomic profiling

    Mohamed J. Saadh, Hanan Hassan Ahmed, Radhwan Abdul Kareem +11

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  2. Multi-objective deep learning for lung cancer detection in CT images: enhancements in tumor classification, localization, and diagnostic efficiency

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  3. TabNet and TabTransformer: Novel Deep Learning Models for Chemical Toxicity Prediction in Comparison With Machine Learning

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    ABI

  4. Advanced feature fusion of radiomics and deep learning for accurate detection of wrist fractures on X-ray images

    Mohamed J. Saadh, Qusay Mohammed Hussain, Rafid Jihad Albadr +10

    ArticleArtificial Intelligence in Healthcare and EducationBMC Musculoskeletal Disorders20250 citations
    ABI

  5. Reproducible meningioma grading across multi-center MRI protocols via hybrid radiomic and deep learning features

    Mohamed J. Saadh, Rafid Jihad Albadr, Dharmesh Sur +10

    ArticleMeningioma and schwannoma managementNeuroradiology20250 citations
    ABI

  6. Radiomics meets transformers: A novel approach to tumor segmentation and classification in mammography for breast cancer

    Mohamed J. Saadh, Qusay Mohammed Hussain, Rafid Jihad Albadr +10

    ArticleRadiomics and Machine Learning in Medical ImagingJournal of X-Ray Science and Technology20250 citations
    ABI

  7. Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis

    Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav +11

    ArticleMeningioma and schwannoma managementEuropean journal of medical research20250 citations
    ABI