Perinatal, Preterm and Paediatric Image Analysis
Description
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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Content
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. N eurodevelopmental 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.