Perinatal, Preterm and Paediatric Image Analysis: 9th International Workshop, PIPPI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

Author:   Daphna Link-Sourani ,  Esra Abaci Turk ,  Christopher Macgowan ,  Jana Hutter
Publisher:   Springer International Publishing AG
Edition:   2025 ed.
Volume:   14747
ISBN:  

9783031732591


Pages:   168
Publication Date:   10 October 2024
Format:   Paperback
Availability:   Not yet available   Availability explained
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Perinatal, Preterm and Paediatric Image Analysis: 9th International Workshop, PIPPI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings


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Overview

This book constitutes the refereed proceedings of the 9th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2024, held in conjunction with the 27th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 14 full papers presented in this book were carefully reviewed and selected from 17 submissions. The methods presented in these proceedings cover the full scope of medical image analysis including segmentation, registration, classification, reconstruction, population analysis and advanced structural, and functional and longitudinal modeling, all with an application to younger cohorts.

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Author:   Daphna Link-Sourani ,  Esra Abaci Turk ,  Christopher Macgowan ,  Jana Hutter
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2025 ed.
Volume:   14747
ISBN:  

9783031732591


ISBN 10:   3031732596
Pages:   168
Publication Date:   10 October 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Fetal MRI: Motion Correction and Quality Assessment: SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking.- Joint Multi-Contrast Reconstruction of Fetal MRI based on Implicit Neural Representations.- Automatic disentanglement of motion in fetal low field MRI scans.- Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction.- Assessing data quality on fetal brain MRI reconstruction: a multi-site and multi-rater study. Neurodevelopmental MRI: Segmentation and Morphometry: Automatic 8-tissue Segmentation for 6-month Infant Brains.- Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss.- Automatic assessment of fetal multi-echo diffusion weighted scans.- Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective.- Enhancing Prenatal Diagnosis: Automated Fetal Brain MRI Morphometry. Fetal Body and Organ Segmentation in MRI: Towards automated multi-regional lung parcellation for 0.55-3T 3D T2w fetal MRI.- Fetal Body Parts Segmentation Using Volumetric MRI Reconstructions. Fetal Ultrasound and Segmentation: Generative Diffusion Model Bootstraps Zero-shot Classification of Fetal Ultrasound Images in Underrepresented African Populations.- Semi-supervised three-dimensional detection of congenital brain anomalies in first trimester ultrasound.

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