Perinatal, Preterm and Paediatric Image Analysis

10th International Workshop, PIPPI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

Häftad, Engelska, 2025

Av Daphna Link-Sourani, Esra Abaci Turk, Wietske Bastiaansen, Jana Hutter, Andrew Melbourne, Roxane Licandro

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This book constitutes the refereed proceedings of the 10th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2025, held in conjunction with the 28th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2025, in Daejeon, South Korea, on September 27, 2025.The 18 full papers were carefully reviewed and selected from 22 submissions. They were categorized under the following topical sections:Fetal Brain MRI: Reconstruction, Segmentation, and DevelopmentLLM and Functional Imaging in Fetal and Placental MRINeonatal and Pediatric Imaging

Produktinformation

Utgivningsdatum2025-09-23
Mått155 x 235 x 13 mm
Vikt353 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor212
FörlagSpringer Nature Switzerland AG
ISBN9783032059963

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Artificiell intelligens inom Data och it
Systemvetenskap och AI inom Data och it

Fetal Brain MRI: Reconstruction, Segmentation, and Development.- Automatic Quality Control in Multi-Centric Fetal Brain MRI Super-Resolution Reconstruction.- D SVG: Diffusion-Based Slice-to-Volume Generation with Implicit Neural Representation for Fetal Brain MRI.- Continuous Spatio Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction.- Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation.- Enhancing Corpus Callosum Segmentation in Fetal MRI via Pathology Informed Domain Randomization.- Physics Informed Joint Multi TE Super Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping.- Robustness and Diagnostic Performance of Super Resolution Fetal Brain MRI.- Enhancing Fetal Brain MRI Segmentation in Ventriculomegaly Using Generative AI Augmented Pathological Data.- FetGEs a Deep Learning Approach for Fetal MRI Ganglionic Eminence Segmentation.- Quantifying Fetal Periventricular White Matter Development Using Multimodal MRI.- LLM and Functional Imaging in Fetal and Placental MRI.- FetalExtract LLM: Structured Information Extraction from Free Text Fetal MRI Reports Based on Privacy Ensuring Open weights Large Language Models.- Automated Biometry for Assessing Cephalopelvic Disproportion in 3D 0.55T Fetal MRI at Term.- Contrast Invariant Self Supervised Segmentation for Quantitative Placental MRI.- PUUMA Functional MRI Prediction of Gestational Age at Birth and Preterm Risk.- Robust Alignment of the Human Embryo in 3D Ultrasound Using PCA and Classifier Ensembles.- Neonatal and Pediatric Imaging.- NEUBORN: The Neurodevelopmental Evolution Framework Using Biomechanical Remodeling.- Anatomically Informed Dynamic Weighting for Semi Supervised Fetal MRI Segmentation.- Towards a Comprehensive Morphological, Dynamic, and Functional MRI Investigation of the Pediatric Bowel at 0.55T.