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Author

Muradul Islam

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Open access Sep 2026

HybridDenseViT: a unified explainable hybrid deep learning framework for multi-stage liver fibrosis staging across T2-weighted MRI and B-mode ultrasound

Accurate staging of liver fibrosis is critical for guiding antifibrotic therapy and predicting disease prognosis. Liver biopsy, the current reference standard, is invasive, costly, and subject to significant sampling error. Although T2-weighted MRI and B-mode ultrasound offer established noninvasive alternatives, exist...

Raufu Umme Rhidi, Ferdaus Anam Jibon, Farhan Shahriar et al. · 0 citations
Sep 2026

An explainable deep learning approach for automated detection and grading of diabetic retinopathy from fundus images.

Diabetic Retinopathy (DR) is a leading cause of preventable blindness, and it is important to accurately detect it as early as possible, as well as to measure the severity to provide early clinical indicators. Fundus image assessment in the manual mode is subjective and labor-intensive, and is hard to scale, which has...

Muradul Islam, Marisa Parvez Oishy, Ferdaus Anam Jibon et al. · 0 citations

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