Author

Yepuganti Karuna

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Review Aug 2026

Noise removal and intensity inhomogeneity correction in brain MRI: A comprehensive review from classical filters to transformer and diffusion models.

Magnetic resonance imaging (MRI) is the preferred modality for non-invasive examination of the human brain, but the acquired images are inevitably corrupted by Rician noise and by intensity non-uniformity (INU), also called the bias field, which arises from imperfect radio-frequency coils and from subject-induced field...

Neelam Syamala, Yepuganti Karuna · Magnetic Resonance Imaging · 0 citations

Open access Aug 2026

Integrating state space models and attention mechanisms for brain tumor segmentation in MRI

Brain tumor segmentation from MRI is clinically critical yet challenging due to heterogeneous appearance and irregular boundaries. Conventional CNN based methods lack effective global context modeling, while transformer-based approaches are computationally expensive and unstable on limited datasets. To address these,...

Saritha Saladi, Riyaz Hussain Shaik, Abhi Chevuri et al. · Scientific Reports · 0 citations