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Author:   Natasha Lepore ,  Marius George Linguraru
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032144164

ISBN 10:   3032144167
Pages:   133
Publication Date:   23 January 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

.- Task 1 -  Automatic Ultra-Low Field MR Image Quality Assessment .- BRIQA: Balanced Reweighting in Image Quality Assessment of Pediatric Brain MRI. .- Robust Multi-Label Classification of MRI Artifacts in Low-Field Neonatal Brain Imaging via View-Conditional Dual Task Learning. .- Task 2b - Automatic Basal Ganglia Segmentation from Ultra-Low Field MRI .- Towards Robust Basal Ganglia Segmentation in Ultra-Low-Field Pediatric MRI via an Optimized MS-TCNet. .- Tasks 2a and 2b  - Automatic Hippocampal and Basal Ganglia Segmentation form Ultra-Low Field MRI .- Segmenting Brain Regions in Low Field Pediatric Brain MR Images using (symmetric) nnU-Net ResEnc. .- Segmenting infant brains across magnetic fields: Domain randomization and annotation curation in ultra-low field MRI. .- Enforcing Anatomical Symmetry with Euclidean Distance Transforms for Low-Field MRI Bilateral Structure Segmentation. .- Coordinate Transformations Make Segmentation Models More Data-Efficient. .- Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging. .- Automated Pediatric Brain Hippocampal and Basal Ganglia Segmentation in Ultra-Low Field Magnetic Resonance Images. .- Tasks 1, 2a and 2b Combined .- Application of Vision Transformers to Multi-Task Learning in the LISA 2025 MRI Challenge. .- Automatic Quality Assurance and Subcortical Brain Segmentation in Pediatric Ultra-Low-Field MRI: Exploring Ordinal Learning and Foundation Model Adaptation.

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