More than just a heatmap: elevating XAI with rigorous evaluation metrics

SpikeNet delivers accurate, low latency, and explainable analysis for MRI and ultrasound by unifying CNN based spatial encoding, sparse spiking computation, and native explanations. The XAlign metric provides a clinically oriented assessment of explanation fidelity and supports consistent comparison across methods. These results indicate the potential of SpikeNet and XAlign for trustworthy and efficient clinical decision support.

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Publication Details

Journal
Frontiers in Medical Technology
Published
2025-10-28
DOI
https://doi.org/10.3389/fmedt.2025.1674343
Citations
2
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
4.96
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article

More than just a heatmap: elevating XAI with rigorous evaluation metrics

Malika Bendechache, Dost Muhammad
2 citations
Frontiers in Medical Technology
Explainable Artificial Intelligence (XAI)
4.96
article

More than just a heatmap: elevating XAI with rigorous evaluation metrics

Malika Bendechache, Dost Muhammad
article en
2 citations

Abstract

SpikeNet delivers accurate, low latency, and explainable analysis for MRI and ultrasound by unifying CNN based spatial encoding, sparse spiking computation, and native explanations. The XAlign metric provides a clinically oriented assessment of explanation fidelity and supports consistent comparison across methods. These results indicate the potential of SpikeNet and XAlign for trustworthy and efficient clinical decision support.

Frontiers in Medical TechnologyVol. 7
Ollscoil na Gaillimhe – University of Galway (IE), COPE Galway (IE)
Openalex Percentile: Top 4%
Explainable Artificial Intelligence (XAI)
4.96
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