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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.

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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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Advanced MRI Techniques and Applications
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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.

3,190 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.
3,190 works in the cohort · of 4,299,418page 53 of 64

Labels cover 6 of 3,190 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 3,190 of 3,190 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
DeepDSMRI: Deep Domain Shift Analyzer for MRI
Rafsanjany Kushol, Sanjay Kalra, Yee‐Hong Yang
2024· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Life and career of Ian C. P. Smith
Angela M. Gronenborn, Érick J. Dufourc, John E. Baenziger, Shirley Schreier
2025· article· en· Biophysical Reviews· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Exploring the potential clinical application of CEST MRI in the diagnosis of Alzheimer's disease
Jiawen Wang, Huabin Zhang, Ziyan Wang, Pei Cai, Shihao Zeng, Hui Zhang +6 more
2025· article· en· Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
CCSMRI: Circular compressed sensing MRI
Honggui Li, Dingtai LI, Nahid Hossain, Xiaojuan Xu, Maria Trocan, Dimitri Galayko +2 more
2025· article· en· Biomedical Signal Processing and Control· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Custom young-old population MNI-space MRI anatomical template
Anne C. Laurita, Elizabeth DuPré, Natalie C. Ebner, Gary R. Turner, R. Nathan Spreng
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Myelin imaging and T1 mapping
Agâh Karakuzu
2022· article· en· PolyPublie (École Polytechnique de Montréal)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Current Awareness in NMR in Biomedicine
Mattei Books, G. Kozak‐Ribbens, SG Ruehm, Mathias Goyen, J. F. Debatin, Abramoff Md
2002· article· en· NMR in Biomedicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About