most citedEAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning

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cs.AI2023

A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals

Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi +4

Deep learning (DL) for predicting Alzheimer's disease (AD) has provided timely intervention in disease progression yet still demands attentive interpretability to explain how their…