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

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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
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9713490 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1361-8423 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213618415%22">13618415 </searchLink><i>NLM ISO Abbreviation: </i>Med Image Anal <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.media.2026.104158
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      – Code: eng
        Text: English
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      – TitleFull: A false discovery rate control method using a fully connected hidden Markov random field for neuroimaging data.
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            NameFull: Jia Q
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            – D: 09
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              Text: 2026 Jun 09
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              Y: 2026
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