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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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Radiomics and Machine Learning in Medical Imaging
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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.

2,251 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.
2,251 works in the cohort · of 4,299,418page 2 of 46

Labels cover 9 of 2,251 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 2,251 of 2,251 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.

afffundno abstractunlabeled
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +63 more
2024· review· en· Nature Methods· Medicine
machine prediction:candidate · metaresearchconsensus · none
175
citations
affunlabeled
Foundation model for cancer imaging biomarkers
Suraj Pai, Dennis Bontempi, Ibrahim Hadžić, Vasco Prudente, Mateo Sokač, Tafadzwa L. Chaunzwa +5 more
2024· article· en· Nature Machine Intelligence· Medicine
machine prediction:candidate · noneconsensus · none
171
citations
affunlabeled
Value of MRI in medicine: More than just another test?
Edwin J.R. van Beek, Christiane Kühl, Yoshimi Anzai, Patricia Desmond, Richard L. Ehman, Qiyong Gong +13 more
2018· editorial· en· Journal of Magnetic Resonance Imaging· Medicine
machine prediction:candidate · noneconsensus · none
166
citations
affunlabeled
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Mathieu Hatt, Aron K. Krizsan, Arman Rahmim, Tyler Bradshaw, Pedro Fragoso Costa, Attila Forgács +6 more
2022· letter· en· European Journal of Nuclear Medicine and Molecular Imaging· Medicine
machine prediction:candidate · noneconsensus · none
151
citations
affno abstractunlabeled
Interpretation of radiomics features–A pictorial review
Ali Abbasian Ardakani, Nathalie J. Bureau, Edward J. Ciaccio, U. Rajendra Acharya
2021· review· en· Computer Methods and Programs in Biomedicine· Medicine
machine prediction:candidate · noneconsensus · none
141
citations
affno abstractunlabeled
Radiomics in hepatocellular carcinoma: a quantitative review
Taiga Wakabayashi, Farid Ouhmich, Cristians Gonzalez-Cabrera, Emanuele Felli, Antonio Saviano, Vincent Agnus +5 more
2019· review· en· Hepatology International· Medicine
machine prediction:candidate · noneconsensus · none
131
citations
affunlabeled
An Overview of Artificial Intelligence in Oncology
Eduardo Moreno Júdice de Mattos Farina, Jacqueline Justino Nabhen, Maria Inez Dacoregio, Felipe Batalini, Fábio Ynoe de Moraes
2022· review· en· Future Science OA· Medicine
machine prediction:candidate · noneconsensus · none
122
citations
affunlabeled
Artificial intelligence in radiotherapy
Sarkar Siddique, James C. L. Chow
2020· review· en· Reports of Practical Oncology & Radiotherapy· Medicine
machine prediction:candidate · noneconsensus · none
112
citations
affno abstractunlabeled
Clinical Utility of Quantitative Imaging
Andrew B. Rosenkrantz, Mishal Mendiratta‐Lala, Brian J. Bartholmai, Dhakshinamoorthy Ganeshan, Richard G. Abramson, Kirsteen R. Burton +5 more
2014· review· en· Academic Radiology· Medicine
machine prediction:candidate · noneconsensus · none
104
citations

How this was built: Screen · Findings · About