Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction

2024Machine Vision and ApplicationsJournal

10.1007/s00138-024-01568-6 Full text2 citations

Authors

5 authors across 8 institutions in 3 countries.

Temitope Emmanuel KomolafeFirst authorCorresponding
Nizhuan Wang
Yuchi Tian
Adegbola Oyedotun Adeniji
- Federal Medical Centre (NG)
- Federal Medical Centre (NG)
Liang ZhouSenior authorCorresponding

Fields

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

Medical Imaging Techniques and Applicationslevel 3 · 1.00
Advanced X-ray and CT Imaginglevel 3 · 1.00
Advanced MRI Techniques and Applicationslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2024 · Machine Vision and Applications · 2 citations
https://openalex.org/W4400452859

MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction · Sankore