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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Unlocking the Power of 3D Convolutional Neural Networks for COVID-19 Detection: A Comprehensive Review

2025Journal of Imaging Informatics in MedicineJournalOpen access

10.1007/s10278-025-01393-x Full text2 citations

Authors

5 authors across 5 institutions in 4 countries.

Ademola E. IlesanmiFirst authorCorresponding
Taiwo Ilesanmi
- National Universities Commission (NG)
Babatunde O. Ajayi
as printed: Babatunde Ajayi
Gbenga A. Gbotoso
- Lagos State University (NG)
Samir Brahim BelhaouariSenior authorCorresponding

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

COVID-19 diagnosis using AIlevel 3 · 1.00
Digital Imaging for Blood Diseaseslevel 3 · 0.98
AI in cancer detectionlevel 3 · 0.97

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2025 · Journal of Imaging Informatics in Medicine · 2 citations
https://openalex.org/W4406811641

Unlocking the Power of 3D Convolutional Neural Networks for COVID-19 Detection: A Comprehensive Review · Sankore