# Brain MRI Quality Classification on 1000BRAINS

Source: [Brain MRI Quality Classification on 1000BRAINS](<https://www.sota2.com/research/sota/brain-mri-quality-classification-on-1000brains>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-09T07:29:29.491Z

Evaluation of model performance for classifying the quality of Brain MRI scans using the 1000BRAINS dataset, typically measured using Accuracy.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Brain MRI Quality Classification |
| Dataset (including any stated split) | 1000BRAINS |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 1 of 1 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/brain-mri-quality-classification-on-1000brains.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| IJNS | 95 | Not recorded | 69ae53fa2d603e6de3e42aa5 |

### IJNS

Accuracy: 95. Result ID: 69ae76056dbb7075b9562e29.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53fa2d603e6de3e42aa5.md>)

Recorded evaluation configuration: {"Architecture":"2D-CNN","# Parameters":"2B"}. This record does not assert independent reproduction.

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