A false discovery rate control method using a fully connected hidden Markov random field for neuroimaging data.

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Bibliographic Details
Title: A false discovery rate control method using a fully connected hidden Markov random field for neuroimaging data.
Authors: Kim T; Department of Biostatistics, School of Global Public Health, New York University, New York, NY, USA., Jia Q; Department of Biostatistics, School of Global Public Health, New York University, New York, NY, USA; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA., de Leon MJ; Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA., Shu H; Department of Biostatistics, School of Global Public Health, New York University, New York, NY, USA. Electronic address: hs120@nyu.edu.
Corporate Authors: Alzheimer’s Disease Neuroimaging Initiative
Source: Medical image analysis [Med Image Anal] 2026 Jun 09; Vol. 113, pp. 104158. Date of Electronic Publication: 2026 Jun 09.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-8423
DOI:10.1016/j.media.2026.104158