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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Medical Image Analysis
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

366 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
366 works in the cohort · of 4,299,418page 8 of 8

Labels cover 0 of 366 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 366 of 366 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Realistic image normalization for multi-Domain segmentation
Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Hervé Lombaert
2021· preprint· en· Medical Image Analysis· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affno abstractunlabeled
Special issue on MICCAI 2018
Julia A. Schnabel, Christos Davatzikos, Gábor Fichtinger, Alejandro F. Frangi, Carlos Alberola‐López
2019· editorial· en· Medical Image Analysis· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez, Valery Naranjo, José Dolz
2022· article· en· Medical Image Analysis· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]
Beidi Zhao, Wenlong Deng, Zihan Li, Chen Zhou, Zu‐Hua Gao, Gang Wang +1 more
2025· erratum· en· Medical Image Analysis· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · metaepi_narrow+research_integrity
0
citations

How this was built: Screen · Findings · About