Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance
First MICCAI Challenge, LISA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
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Lepore, Natasha (editor)
Linguraru, Marius George (editor)
Collection
WellcomeLanguage
EnglishAbstract
This open access LNCS volume 15515 constitutes the refereed proceedings of the First MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, LISA 2024, Held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 6 full papers presented were carefully reviewed and selected from 8 submissions. This MICCAI Challenge focuses on the development and evaluation of automatic image analysis and machine learning algorithms and Ultra-low-field brain imaging has the potential to become a transformative tool for both clinical and research applications.
Keywords
ultra low field magnetic resonance imaging; pediatrics; Quality assessment; Automatic segmentation; hippicampi; deep leanring; feature learning; dual-view learning; frequency masking; classificationDOI
10.1007/978-3-031-83008-2ISBN
9783031830082, 9783031830082, 9783031830105Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
Cham, 2025Imprint
Springer Nature SwitzerlandSeries
Lecture Notes in Computer Science, 15515Classification
Artificial intelligence
Machine learning