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AI for Brain Lesion Detection and Trauma Video Action Recognition[electronic resource] :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 /edited by Rina Bao, Ellen Grant, Andrew Kirkpatrick, Juan Wachs, Yangming Ou

Bao Rina. editor Grant Ellen. editor Kirkpatrick Andrew. editor Wachs Juan. editor Ou Yangming. editor

1st ed. 2025.

XIV, 95 p 29 illus, 27 illus in color online resource.

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. .

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.

9783031716263

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