Explainable Deep Learning for Multi‐Cohort Alzheimer's Disease Classification using MRI: Insights into Pathological Brain Regions

In summary, our method achieves outstanding performance in AD vs. CN classification, accurately identifying key pathological regions such as the hippocampus and temporal lobe. The consistent results across diverse cohorts demonstrate its robustness and potential for broader clinical implementation.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_101859
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Explainable Deep Learning for Multi‐Cohort Alzheimer's Disease Classification using MRI: Insights into Pathological Brain Regions

Jae Gwan Kim, Gia Minh Hoang
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Explainable Deep Learning for Multi‐Cohort Alzheimer's Disease Classification using MRI: Insights into Pathological Brain Regions

Jae Gwan Kim, Gia Minh Hoang
article en

Abstract

In summary, our method achieves outstanding performance in AD vs. CN classification, accurately identifying key pathological regions such as the hippocampus and temporal lobe. The consistent results across diverse cohorts demonstrate its robustness and potential for broader clinical implementation.

Alzheimer s & DementiaVol. 21(S2)
Gwangju Institute of Science and Technology (KR)
Openalex Percentile: Top 33%
Dementia and Cognitive Impairment Research
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