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Jean-Christophe Ferré

Researcher at University of Rennes

Publications -  141
Citations -  3193

Jean-Christophe Ferré is an academic researcher from University of Rennes. The author has contributed to research in topics: Perfusion scanning & Modified Rankin Scale. The author has an hindex of 24, co-authored 131 publications receiving 2341 citations. Previous affiliations of Jean-Christophe Ferré include University of Toulouse & French Institute for Research in Computer Science and Automation.

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Brain MRI Findings in Severe COVID-19: A Retrospective Observational Study.

TL;DR: Patients with severe COVID-19 and without ischemic infarcts had a wide range of neurologic manifestations that were be associated with abnormal brain MRIs, and eight distinctive neuroradiological patterns were described.
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Penumbral imaging and functional outcome in patients with anterior circulation ischaemic stroke treated with endovascular thrombectomy versus medical therapy: a meta-analysis of individual patient-level data

Bruce C.V. Campbell, +1296 more
- 01 Jan 2019 - 
TL;DR: Estimated ischaemic core volume was independently associated with functional independence and functional improvement but did not modify the treatment benefit of endovascular thrombectomy over standard medical therapy for improved functional outcome.
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Imaging features and safety and efficacy of endovascular stroke treatment: a meta-analysis of individual patient-level data.

Luis San Roman, +52 more
- 01 Oct 2018 - 
TL;DR: The overall treatment effect favoured EVT (adjusted common odds ratio [cOR] for a shift towards better outcome on the mRS 2·00, 95% CI 1·69-2·38; p<0·0001) and EVT achieved better outcomes at 90 days than standard medical therapy alone across a broad range of baseline imaging categories.
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Neurologic and neuroimaging findings in patients with COVID-19: A retrospective multicenter study.

TL;DR: COVID-19 patients may develop a wide range of neurological symptoms, which can be associated with severe and fatal complications, such as ischemic stroke or encephalitis, and the pathophysiology seems to involve an immune and/or inflammatory process given the presence of signs of inflammation in both cerebrospinal fluid and neuroimaging.
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Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

TL;DR: Results of the challenge highlighted that automatic algorithms, including the recent machine learning methods, are still trailing human expertise on both detection and delineation criteria, and it is demonstrated that computing a statistically robust consensus of the algorithms performs closer tohuman expertise on one score (segmentation) although still trailing on detection scores.