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Produktbild: Perinatal, Preterm and Paediatric Image Analysis
Band 16118

Perinatal, Preterm and Paediatric Image Analysis 10th International Workshop, PIPPI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

Aus der Reihe Lecture Notes in Computer Science

Fr. 73.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

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...

Beschreibung

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:

  1. Fetal Brain MRI: Reconstruction, Segmentation, and Development
  2. LLM and Functional Imaging in Fetal and Placental MRI
  3. Neonatal and Pediatric Imaging  

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

23.09.2025
Abbildungen

XIII, 212 p. 73 illus., 69 illus. in color.
Herausgeber Daphna Link-Sourani + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

23.09.2025
Abbildungen

XIII, 212 p. 73 illus., 69 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

212
Maße (L/B/H)

23.5/15.5/1.3 cm
Gewicht

353 g
Sprache

Englisch
ISBN

978-3-032-05996-3
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Perinatal, Preterm and Paediatric Image Analysis

  • 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.