DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI

DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI

This paper introduces a novel multimodal and high-resolution human brain cerebellum lobule segmentation method. Unlike current tools that operate at standard resolution (1 mm3) or using mono-modal data, the proposed method improves cerebellum lobule segmentation through the use of a multimodal and u...

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Main Authors: Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya, Gwenaelle Catheline, Boris Mansencal, Pierrick Coupé, José V. Manjón
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:NeuroImage
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811925000655
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http://www.sciencedirect.com/science/article/pii/S1053811925000655

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