This paper is in the following e-collection/theme issue:

Case Study (34) Imaging Informatics (296) Medical imaging (104) Machine Learning (2048) Computer-Aided Diagnosis (243) Neurology and Neurosciences (281) Advancements in Neuroimaging (15)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72155, first published .
Interpretable Artificial Intelligence Analysis of Functional Magnetic Resonance Imaging for Migraine Classification: Quantitative Study

Interpretable Artificial Intelligence Analysis of Functional Magnetic Resonance Imaging for Migraine Classification: Quantitative Study

Interpretable Artificial Intelligence Analysis of Functional Magnetic Resonance Imaging for Migraine Classification: Quantitative Study

Authors of this article:

Guohao Li1 Author Orcid Image ;   Hao Yang1 Author Orcid Image ;   Li He1 Author Orcid Image ;   Guojun Zeng2 Author Orcid Image
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Journals

  1. Deng Y, Chen X, Yao N, Geng C, Yuan C, Chen Q, Shen Z. Two-decade dialogue between artificial intelligence and osteoporosis: research trajectories and frontier projections under bibliometric and visual analysis. Frontiers in Medicine 2025;12 View