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February 13, 2026DiagnosticsOpen Access

Correction: Cho, J. Logarithmic Scaling of Loss Functions for Enhanced Self-Supervised Accelerated MRI Reconstruction. Diagnostics 2025, 15, 2993

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Key Points

The aim is to enhance MRI reconstruction using logarithmic scaling of loss functions in a self-supervised framework.
Employing a self-supervised learning approach
Applying logarithmic scaling to loss functions
Evaluating the impact on MRI image quality
Improved MRI reconstruction accuracy
Enhanced image clarity compared to conventional methods
Significant reduction in artifacts in reconstructed images

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Implication

Correction improves MRI reconstruction outcomes through advanced self-supervised techniques, suggesting better diagnostic imaging.

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Cite This Study

Jaejin Cho (2026) studied this question.

synapsesocial.com/papers/6992b3e59b75e639e9b08a4d https://doi.org/10.3390/diagnostics16040553

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