Author

Sidra Kaleem

University of Cape Town

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 1

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Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Bokang Methola· 1 shared Candice Knipe· 1 shared Chloë A. JacobsiD· 1 shared Donna HerriD· 1 shared František VášaiD· 1 shared Hajer KarouiiD· 1 shared Khanyisa Nkubungu· 1 shared Khula South Africa Data Collection Team· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Bokang Methola

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1 paper

Recent·Most cited

Deep learning super-resolution of paediatric ultra-low-field MRI without paired high-field scans

Ula Briski, Niall Bourke, Hajer Karoui, Kirsten Ann Donald, Layla E. Bradford, Simone R. Williams, Michal R. Zieff, Sadia Parkar, Sidra Kaleem, Salman Osmani, Sean Deoni, Steven Williams, Khula South Africa Data Collection Team, Donna Herr, Marlie Miles, , František Váša

This study develops a deep learning model to enhance ultra-low-field MRI scans to near high-field resolution without paired high-field data, improving image quality and accessibility.

Scientific Reports · Aug 26, 2026Peer-reviewedNeuroscience