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

Case Study (34) Imaging Informatics (284) Medical imaging (95) Machine Learning (1984) Computer-Aided Diagnosis (226) Neurology and Neurosciences (266) Advancements in Neuroimaging (14)

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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Guohao Li   1 , MEng ;   Hao Yang   1 , DEng ;   Li He   1 , MD ;   Guojun Zeng   2 , MD

1 West China Hospital, Sichuan University, Chengdu, China

2 Division of Vascular Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China

Corresponding Author:

  • Guojun Zeng, MD
  • Division of Vascular Surgery
  • Department of General Surgery
  • West China Hospital, Sichuan University
  • No. 37 Guoxue Lane, Chengdu, Sichuan Province
  • Chengdu
  • China
  • Phone: 86 13550337171
  • Email: zengguojun@wchscu.cn