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Low field pediatric brain magnetic resonance image segmentation and quality assurancefirst MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Low field pediatric brain magnetic resonance image segmentation and quality assuranceedited by Natasha Lepore, Marius George Linguraru.
Reminder of title:	first MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
remainder title:	LISA 2024
other author:	Lepore, Natasha.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	ix, 77 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BrainAtlases.Magnetic resonance imaging
Online resource:	https://doi.org/10.1007/978-3-031-83008-2
ISBN:	9783031830082$q(electronic bk.)

Low field pediatric brain magnetic resonance image segmentation and quality assurancefirst MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
Low field pediatric brain magnetic resonance image segmentation and quality assurancefirst MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /[electronic resource] :LISA 2024edited by Natasha Lepore, Marius George Linguraru. - Cham :Springer Nature Switzerland :2025. - ix, 77 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,155151611-3349 ;. - Lecture notes in computer science ;4891..

Open access.

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.

ISBN: 9783031830082$q(electronic bk.)

Standard No.: 10.1007/978-3-031-83008-2doiSubjects--Topical Terms:

713177
Brain
--Magnetic resonance imaging--Atlases.

LC Class. No.: RJ488.5.M33

Dewey Class. No.: 618.928047548

Low field pediatric brain magnetic resonance image segmentation and quality assurancefirst MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
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