Author

Ahmeed Suliman Farhan

University of HullORCID 0000-0001-7159-190XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Muhammad KhalidiD· 2 shared Umar ManzooriD· 2 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Muhammad KhalidORCID

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2 papers

Recent·Most cited

PRCnet: An Efficient Model for Automatic Detection of Brain Tumor in MRI Images

Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor

PRCnet is a model for automatic brain tumor detection in MRI images, achieving high accuracy on two datasets.

PLoS ONE · Dec 15, 2025Peer-reviewedBioinformatics

XAI-MRI: An Ensemble Dual-Modality Approach for 3D Brain Tumor Segmentation Using Magnetic Resonance Imaging

Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor

This paper proposes an ensemble dual-modality approach for 3D brain tumor segmentation using MRI, achieving high Dice Coefficient and Mean IoU on BraTS2020.

Frontiers in Artificial Intelligence · Feb 19, 2025Peer-reviewedBioinformatics