Romain Valabrégue
researcher, ORCID id # 0000-0002-1814-9570
Facts
10 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- Pierre and Marie Curie University (?–2003)[4]
- Doctoral advisor
- Yves Burnod[5]
- Family name
- Valabrègue[7]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en romain valabregue
en Romain Valabrégue
🔖 Identifiers · 6
- ISNI
- 0000000432129220
- ORCID iD
- 0000-0002-1814-9570
- VIAF cluster ID
- 211206723
- OpenAlex ID
- A5030684365, A5137011742, A5137219963as 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
- DBLP author ID
- 91/6318
- IdRef ID
- 089439597
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 10
Analysis of task-based functional MRI data preprocessed with fMRIPrep,
Automated Categorization of Parkinsonian Syndromes Using <scp>Magnetic Resonance Imaging</scp> in a Clinical Setting,
Comparison of spatial normalization strategies of diffusion MRI data for studying motor outcome in subacute-chronic and acute stroke,
Comprehensive analysis of synthetic learning applied to neonatal brain <scp>MRI</scp> segmentation,
Evolution of neocortical folding: A phylogenetic comparative analysis of MRI from 34 primate species,
Interpretable deep learning for the prognosis of long-term functional outcome post-stroke using acute diffusion weighted imaging,
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results,
NigraNet: An automatic framework to assess nigral neuromelanin content in early Parkinson’s disease using convolutional neural network
+2 more
← Authored by 10
Analysis of task-based functional MRI data preprocessed with fMRIPrep,
Automated Categorization of Parkinsonian Syndromes Using <scp>Magnetic Resonance Imaging</scp> in a Clinical Setting,
Comparison of spatial normalization strategies of diffusion MRI data for studying motor outcome in subacute-chronic and acute stroke,
Comprehensive analysis of synthetic learning applied to neonatal brain <scp>MRI</scp> segmentation,
Evolution of neocortical folding: A phylogenetic comparative analysis of MRI from 34 primate species,
Interpretable deep learning for the prognosis of long-term functional outcome post-stroke using acute diffusion weighted imaging,
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results,
NigraNet: An automatic framework to assess nigral neuromelanin content in early Parkinson’s disease using convolutional neural network
+2 more
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