Validating Stroke Lesion Segmentation Methods Using MRI in Children: Transferability of Deep Learning Models-Reference-Cited by-同舟云学术

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Validating Stroke Lesion Segmentation Methods Using MRI in Children: Transferability of Deep Learning Models

Published:2024-05-27 Issue: Volume:109 Page:1-5
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Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Lhermitte Emma¹,Dinomais Mickaël²,Oyaneder Rodrigo Araneda³,Bleyenheuft Yannick³,Guzetta Andrea⁴,Brochard Sylvain¹,Rousseau François¹

Affiliation:

1. Inserm,LaTIM UMR 1101,Brest,France

2. Université d’Angers,Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) – EA7315,France,F-49000

3. Universite Catholique de Louvain,Institute of Neuroscience,Brussels,Belgium

4. IRCCS Fondazione Stella Maris,Department of Developmental Neuroscience,Pisa,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635273.pdf?arnumber=10635273

Reference18 articles.

1. Life After Perinatal Stroke

2. A report: the definition and classification of cerebral palsy april 2006;Rosenbaum;Dev Med Child Neurol Suppl,2007

3. Clinical and MRI Correlates of Cerebral Palsy

4. Voxel-Based Morphometry—The Methods

5. Cortical thickness and central surface estimation

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