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AI for brain lesion detection and trauma video action recognitionfirst BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 16 and 12, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI for brain lesion detection and trauma video action recognitionedited by Rina Bao ... [et al.].
Reminder of title:	first BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 16 and 12, 2023 : proceedings /
remainder title:	MICCAI 2023
other author:	Bao, Rina.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xiv, 95 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imagingCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-71626-3
ISBN:	9783031716263$q(electronic bk.)

AI for brain lesion detection and trauma video action recognitionfirst BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 16 and 12, 2023 : proceedings /
AI for brain lesion detection and trauma video action recognitionfirst BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 16 and 12, 2023 : proceedings /[electronic resource] :MICCAI 2023edited by Rina Bao ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xiv, 95 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,145671611-3349 ;. - Lecture notes in computer science ;4891..

BONBID-HIE 2023 -- Fusion of Deep and Local Features Using Random Forests for Neonatal HIE Segmentation -- Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy -- An Ensemble Approach for Segmentation of Neonatal HIE lesions -- Improving Segmentation of Hypoxic Ischemic Encephalopathy Lesions by Heavy Data Augmentation: Contribution to the BONBID Challenge -- A Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging -- SegResNet based Reciprocal Transformation for BONBID-HIE Lesion Segmentation -- Trauma THOMPSON 2023 -- Overview of the Trauma THOMPSON Challenge at MICCAI 2023 -- The Trauma THOMPSON Challenge Report MICCAI 2023 -- Action Recognition and Action Anticipation Tasks in the Trauma THOMPSON Challenge Technical Report -- QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View.

This book constitutes the proceedings of the First BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during October 2023. For BONBID-HIE 2023 Challenge 6 papers have been accepted out of 14 submissions. They span a broad array of approaches leveraging anatomical information about HIE, data augmentation, training strategies, model architecture, and integration with traditional machine learning methods. For the TTC 2023 Trauma Thompson Challenge 4 accepted contributions are included in this book. They deal with advancements in machine learning methods and their practical applications in addressing small and diffuse lesions in HIE segmentation.

ISBN: 9783031716263$q(electronic bk.)

Standard No.: 10.1007/978-3-031-71626-3doiSubjects--Topical Terms:

387225
Diagnostic imaging
--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

AI for brain lesion detection and trauma video action recognitionfirst BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 16 and 12, 2023 : proceedings /
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