A false discovery rate control method using a fully connected hidden Markov random field for neuroimaging data.
Saved in:
| 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 |
Be the first to leave a comment!