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BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment

2016· article· en· 783 citations· W2526511911 on OpenAlex· 10.1016/j.neuroimage.2016.09.046

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.022
GPT teacher head0.265
Teacher spread
0.243 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

The record

Venue
NeuroImage
Topic
Neonatal and fetal brain pathology
Field
Medicine
Canadian institutions
Child and Family Research InstituteHospital for Sick ChildrenUniversity of British ColumbiaSickKids FoundationUniversity of TorontoSimon Fraser University
Funders
Natural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCanadian Child Health Clinician Scientist ProgramBC Children's HospitalMichael Smith Health Research BCChild and Family Research Institute
Keywords
Convolutional neural networkComputer scienceDiffusion MRICognitionArtificial intelligenceContext (archaeology)NeuroimagingLeverage (statistics)Machine learningPattern recognition (psychology)NeurosciencePsychologyMedicineMagnetic resonance imaging
Has abstract in OpenAlex
no