Olga Ciccarelli
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University College London Hospitals NHS Foundation Trust, Queen Mary University of London, Brain Research Trust, National Institute for Health and Care Research, UCLH/UCL Biomedical Research Centre, National Hospital for Neurology and Neurosurgery, UCL Queen Square Institute of Neurology, University College Londonas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-7485-1367
- OpenAlex ID
- A5067383775, A5122423199, A5122503646, A5125098407, A5125973483, A5135615483, A5136556730as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 14
A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis,
A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis,
Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research,
Facing privacy in neuroimaging: removing facial features degrades performance of image analysis methods,
Fully automated grey and white matter spinal cord segmentation,
Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis,
Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy,
Gray matter MRI differentiates neuromyelitis optica from multiple sclerosis using random forest
+6 more
← Authored by 14
A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis,
A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis,
Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research,
Facing privacy in neuroimaging: removing facial features degrades performance of image analysis methods,
Fully automated grey and white matter spinal cord segmentation,
Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis,
Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy,
Gray matter MRI differentiates neuromyelitis optica from multiple sclerosis using random forest
+6 more
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Summary
Olga Ciccarelli is a human[1].