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Author

A. Bekbolat

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2 papers indexed here

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Open access Oct 2026

ROI-SSIM guided framework for 3D knee MRI reconstruction under artifact degradation

Magnetic resonance imaging (MRI) reconstruction is highly sensitive to undersampling and acquisition artifacts. Although deep learning-based approaches have significantly improved reconstruction quality, they are typically optimized using global fidelity metrics that may not fully reflect reconstruction quality within...

A. Bekbolat, Almira Askhatova, Aibek S. Niyetkaliyev et al. · 0 citations
Open access Oct 2026

MULTI-TASK DEEP LEARNING FOR KNEE MRI PATHOLOGY CLASSIFICATION

Magnetic resonance imaging (MRI) is the primary non-invasive modality for diagnosing internal knee derangement, but manual reading of multi-planar examinations is time-consuming and subject to inter-observer variability, particularly for anterior cruciate ligament (ACL) and meniscus tears. Most deep learning approaches...

A. Bekbolat, A. Razak, Z. Alimbayeva et al. · 0 citations

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