Codesota · Models · Causal fMRI ModelAcademic2 results · 1 benchmarks
Model card

Causal fMRI Model.

AcademicclassificationCausality-inspired Deep Learning

Causality-inspired deep learning model for fMRI time-series. Identifies left/right precuneus and cerebellum as top regions. Submitted Feb 2025.

§ 01 · Benchmarks

Every benchmark Causal fMRI Model has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01ABIDE IMedical · Disease Classificationauc75.8%#7/92025-02-21source ↗
02ABIDE IMedical · Disease Classificationaccuracy71.9%#17/242025-02-21source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area

Where Causal fMRI Model actually performs.

Medical
1
benchmark
avg rank #12.0
§ 03 · Papers

1 paper with results for Causal fMRI Model.

  1. 2025-02-21· 2 results

    Causal Modeling of fMRI Time-series for Interpretable Autism Spectrum Disorder Classification

§ 04 · Related models

Other Academic models scored on Codesota.

SSAE + Softmax (Explainable ASD)
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BrainTWT
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ChebGAT-GCN
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MADE-for-ASD
1 result
MSalNET
1 result
RGTNet
1 result
B-Whisper
1.5B params · 0 results
DNTextSpotter (ResNet-50)
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§ 05 · Sources & freshness

Where these numbers come from.

paper
2
results
2 of 2 rows marked verified.