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Benchmarking explanation methods for mental state decoding with deep learning models

NeuroImage(2023)10.1016/j.neuroimage.2023.120109Source: DataRank Database

Benchmarking explanation methods for mental state decoding with deep learning models is a research paper published in NeuroImage (2023). On theSindex it has a DataRank of 0. It has been cited 11 times.

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Open Access11 citations

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Enrichment:Funding (5 grants)OA: goldTopics (16)IDs (PubMed)

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Authors (3)

Christopher Ré,Russell A. Poldrack ORCID,Armin W. Thomas ORCID

Live enrichment

PubMed:37059157

National Institutes of Health

Grant: 3U54MH091657-03S1

Mapping the Human Connectome: Structure, Function, and Heritability

National Science Foundation

Grant: 1937301

RTML: Large: Continuous Adaptation for Decision Streams

National Institutes of Health

Grant: 5U54EB020405-03

Mobility Data Integration to Insight

National Science Foundation

Grant: 1763315

AF: Medium: Collaborative Research: Beyond Sparsity: Refined Measures of Complexity for Linear Algebra

National Institutes of Health

Grant: 3R24MH117179-04S1

OpenNeuro: An open archive for analysis and sharing of BRAIN Initiative data

goldLicense: cc-by

publisherhttps://doi.org/10.1016/j.neuroimage.2023.120109

publisherhttps://api.elsevier.com/content/article/PII:S1053811923002550?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1053811923002550?httpAccept=text/plain

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10258563/pdf/nihms-1896486.pdf

repositoryhttps://doaj.org/article/bb66e917566542cbb5949ed27d6b8661

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Brain MappingBrainNeuroimagingDeep learningNeurosciences. Biological psychiatry. NeuropsychiatryMental state decodingBenchmarkMagnetic Resonance ImagingArticleBenchmarkingArtificial IntelligenceExplainable AIHumansRC321-571