Roxana Améli

Researcher

Lyon College

faculty

10 h-index 49 pubs 856 cited

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OverviewAI-generated summary

Roxana Améli is a faculty member at Lyon College whose research encompasses acute ischemic stroke management, cerebrovascular diseases, and glioma diagnosis. Her work also explores the application of radiomics and machine learning in medical imaging, along with conducting multiple sclerosis research studies. Améli's recent publication dates to 2025.

Metrics

h-index: 10
Publications: 49
Citations: 856

Selected Publications

Globus Pallidus Lesion With Iron Deposition and Dopaminergic Denervation in a Patient With a Pathogenic <i>SLC6A1</i> Variant (2024) DOI
Autosomal recessive pathogenic <i>MSTO1</i> variants in hereditary optic atrophy (2023) DOI
Early Detection of Underlying Cavernomas in Patients with Spontaneous Acute Intracerebral Hematomas (2023) DOI
Blood-Brain Barrier Permeability and Kinetics of Inflammatory Markers in Acute Stroke Patients Treated With Thrombectomy (2023) DOI
Brain-blood barrier permeability and kinetics of inflammatory markers in acute stroke patients treated by thrombectomy (2023) DOI
Is the optimal Tmax threshold identifying perfusion deficit volumes variable across MR perfusion software packages? A pilot study (2023) DOI
Brush sign and collateral supply as potential markers of large infarct growth after successful thrombectomy (2023) DOI
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure (2022) DOI
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure (2022) DOI
Gyriform infiltration as imaging biomarker for molecular glioblastomas (2022) DOI
L'étendue des hypersignaux vasculaires en flair permet-elle de prédire une recanalisation futile après une thrombectomie mécanique ? (2022) DOI
Brush sign et apport artériel collatéral comme marqueurs potentiels de la croissance de l'infarctus après une thrombectomie réussie. (2022) DOI
Le seuil optimal de tmax identifiant les volumes de déficit de perfusion varie-t-il d'un logiciel de perfusion irm à l'autre dans l'accident ischémique cérébral aigu ? Une étude pilote (2022) DOI
Assessment of three MR perfusion software packages in predicting final infarct volume after mechanical thrombectomy (2022) DOI
Évaluation des logiciels de perfusion irm dans la prédiction du volume final de l'infarctus après thrombectomie mécanique (2022) DOI