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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 Segmentation Techniques
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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.

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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.

1,412 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.
1,412 works in the cohort · of 4,299,418page 6 of 29

Labels cover 3 of 1,412 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 1,412 of 1,412 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Registration of 3D shapes under anisotropic scaling
Elvis C. S. Chen, A. Jonathan McLeod, John S. H. Baxter, Terry M. Peters
2015· article· en· International Journal of Computer Assisted Radiology and Surgery· Computer Science
distilled prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Thresholding using an illumination model
J. R. Parker, C. Jennings, Antanas Šalkauskas
2002· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Asymmetric Image-Template Registration
Mert R. Sabuncu, B.T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland
2009· article· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · noneconsensus · none
31
citations
affunlabeled
EFIS—Evolving Fuzzy Image Segmentation
Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati
2013· article· en· IEEE Transactions on Fuzzy Systems· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
31
citations
fundno affunlabeled
Weakly Supervised Top-down Image Segmentation
Maria João M. Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro
2006· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Locating Brain Tumors from MR Imagery Using Symmetry
Nilanjan Ray, Baidya Nath Saha, Matthew Brown
2007· article· en· Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · metaepi_narrow
30
citations
affunlabeled
Image thresholding techniques
Morshed Chowdhury, W.D. Little
2002· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
29
citations

How this was built: Screen · Findings · About